Cuda quartus jobber

I'm looking for an experienced freelancer who can help me train a deep learning model on my Jetson Orin AGX with Jetpack 6.2 and Deepstream 7.1. The goal is to detect garbage in my garden using a USB camera. Your tasks will include: - Creating and configuring C++ and Python examples for the detection of garbage - Utilizing CUDA for optimized processing - Providing guidance on machine configuration for optimal performance Ideal skills for this project include: - Extensive experience with NVIDIA Jetson platforms - Proficiency in C++ and Python, particularly in the context of Deepstream and Jetson - Familiarity with garbage detection models - Experience in configuring and optimizing machine performance This project requires a keen understanding of AI and deep learning, specif...

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I'm looking for a professional who can help me with the installation and setup of Ubuntu 22.04 LTS on my laptop, along with Yolo V8, Driver and Plugin for Cuda. Key Tasks: Install, setup, run Ubuntu, Yolo V8, Driver and Plugin for Cuda Laptop. I currently do not have Ubuntu installed on my laptop, and I also need assistance in obtaining the necessary installation files/software for Yolo V8 and CUDA. Ideal Skills: - Extensive experience with Ubuntu installation and setup. - Proficiency in configuring Yolo V8 and CUDA. - Excellent technical writing skills for documentation. - Previous experience in remote assistance setups (TeamViewer). Please ensure you can assist me in obtaining the relevant software, as I do not have all the necessary files.

I'm seeking a seasoned C# developer with profound CUDA expertise for an audio processing project. The core of the project revolves around implementing various audio effects and transformations, alongside applying specific audio filters. Key Responsibilities: - Utilize cuFFT for implementing audio time stretching and other filters. - Design and implement effects like time stretching, noise reduction, pitch shifting, and BPM scanning. - Develop functionality for source separation (stems) as CLI wrapper for MISST app Ideal Skills: - Proficient in C# and CUDA. - Extensive experience in audio DSP (Digital Signal Processing). - Familiarity with cuFFT and its application in audio processing. - Ability to design and implement complex audio transformations and effects. This pr...

I need assistance with my PCA algorithm that is currently unable to process rectang...images, which is a significant issue as I need to compress a variety of image types. I have a theoretical solution, but I'm having trouble implementing it. Key tasks include: 1. Adjusting the PCA algorithm to handle rectangular images effectively. 2. Implementing the CUDA version of EigenDecomposition function. 3. Switching from a 1D to a 2D grid. 4. Creating a CUDA+MPI version for improved performance. The ideal freelancer for this project would be someone with a strong background in image processing, parallel computing, and CUDA programming. Experience with PCA and EigenDecomposition is essential. Please note, I do have specific error messages that I can share, which may hel...

I'm in need of a seasoned CUDA developer, ideally with over 5 years of experience, who can work on a monthly basis. - Position Overview: The ideal candidate should have a strong background in parallel computing and performance optimization using CUDA. - Responsibilities: Identify and resolve performance issues and bugs related to CUDA usage. Analyze and improve algorithm performance through efficient parallelization. Stay updated with new technologies and best practices in CUDA and parallel computing. - Required Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related fields. Minimum of 5 years of software development experience, with at least 2 years specifically in CUDA development. Ability to solve complex p...

I'm looking for a seasoned professional to ...and rectify performance issues, with a focus on kernel execution time constraints. - Contribute to the architectural development of our main acceleration platform. Ideal Skills and Experience: - Extensive background in CUDA and C/C++ is essential. - Proven expertise in parallel programming and performance optimization. - Prior experience with numerical linear algebra, specifically matrix factorization. - Exceptional problem-solving abilities and meticulous attention to detail. - Self-sufficient with a capacity to work with minimal oversight. Technologies Used: - C++ - CUDA - GPU Programming # Note: This is a contractor role, employee benefits are not included. To apply, please send your CV detailing relevant experience a...

I have a single-function MATLAB code that performs numerical simulations primarily through matrix manipulations. I need this code translated into C CUDA to speed up its runtime. Key project requirements: - Translate the MATLAB code into C CUDA - Ensure that the output from the C CUDA code matches the original MATLAB code - Achieve runtime at least 10 times shorter - Provide a MEX-file that allows the C CUDA code to be called from MATLAB Ideal candidates for this project should have extensive experience in both MATLAB and C CUDA, with a strong understanding of numerical simulations and matrix manipulations. Attention to detail is crucial, as the results from the translated code must be identical to those from the MATLAB code.

...with the end goal of integrating it into a larger system that offloads the computationally intensive parts of the process. Core Goals of the Project: Implement efficient ECC point multiplication (secp256k1) on FPGA hardware. Ensure high throughput for cryptographic operations (we are targeting 1B keys/sec performance). Offload ECC computation from the main processing units to Linux Server (with CUDA GPUs), using Ethernet communication to transfer results for further processing. Integrate with GPU for subsequent tasks such as hashing (SHA256, RIPEMD160) and address generation. Skills and Experience Needed: FPGA Development (preferably with Xilinx or Microsemi platforms, like SmartFusion2, Artix-7, or Lattice ECP5). Experience in implementing ECC algorithms in hardware (sp...

I am seeking an expert in CUDA and cryptography, specifically focusing on implementing the ECC (Elliptic Curve Cryptography) algorithm for encryption and decryption tasks. Key Project Components: - Implementing ECC for encryption/decryption. - Utilizing hashing for creating digital signatures. The ideal candidate should have profound knowledge and experience in: - CUDA programming - Cryptography, particularly ECC. - Digital signature generation and verification. Please provide examples of previous projects related to CUDA and cryptography when you bid. For better understanding of this project details, please review file.

CUDA Developer 5+ YOE Job Description: Position Overview: The ideal candidate should have a strong background in parallel computing and performance optimization using CUDA. Responsibilities: Identify and resolve performance issues and bugs related to CUDA usage. Analyze and improve algorithm performance through efficient parallelization. Stay updated with new technologies and best practices in CUDA and parallel computing. Required Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related fields. Minimum of 5 years of software development experience, with at least 2 years specifically in CUDA development. Ability to solve complex problems and work both independently and in a team. Good communication skills and ability ...

...super-resolution) to restore visual quality after aggressive compression. >>>Step 5: Build the Core Phase 1: Develop a Prototype Use Python + FFmpeg/OpenCV for a fast prototype. Focus on implementing one or two innovations (e.g., custom transforms or ML-based motion estimation). Phase 2: Transition to High-Performance Code Rewrite critical components in C++ or Rust. Integrate GPU acceleration using CUDA (NVIDIA) or Metal (Apple). Phase 3: Create a Compression Pipeline A typical pipeline looks like this: Preprocessing: Frame filtering, resizing, noise reduction. Compression: Transform encoding (DCT/wavelets/learned transform). Motion estimation and prediction. Entropy coding. Output: Save the compressed file in a container format (e.g., MP4, MKV). >>>Step ...

...The project already contains source code for Pthreads, MPI, and serial. Your task will be to maintain the structure of the project while implementing CUDA, CUDA + MPI, and conducting an overall correctness check for all the existing code. Key Responsibilities: - Implement the algorithm using CUDA and CUDA + MPI - Ensure a high level of performance optimization - Maintain code readability and comments throughout the implementation - Conduct correctness checks The primary goal of this project is to leverage parallel processing capabilities of CUDA to enhance the performance of the algorithm. Ideal Skills: - Extensive experience with CUDA and CUDA + MPI - Proficiency in performance optimization techniques - Ability to maintain code readab...

...optimisations for both CPU and GPU (NVIDIA CUDA) execution. Use Case: The above model will be used to calculate the head pose and also the emotions of the face Title: Custom YOLO object detector for edge devices Target Model: ONNX format for maximum portability. Input for the Model: Frame Output: The model should detect Person, Smart Phone, Cigarette, Bicycle, Car, Motorcycle, Bus, Truck, Indian auto rickshaw, Traffic lights, Traffic Sign Boards, Cat, Dog, Sheep, Cow, Bottle. Project Output: Training Code, Inference Code in Python, list of datasets used Hardware Optimization: ● Primarily target NVIDIA Jetson Nano for edge deployment. ● Minimise CPU and RAM usage for efficient resource utilisation. ● Consider optimisations for both CPU and GPU (NVIDIA CUDA) execution. Use Case:...

I need to use FFMPEG to create a motion blur effect that looks like this: My baseline video is here: motion blur effect that looks like this: My baseline video is here: I need you to use FFMPEG or CV Cuda or opencv to create a motion blur effect that makes the captions look exactly like the example I gave. The core thing I care about is the ffmpeg, cv cuda or opencv command that does this. Please submit your output video and the exact ffmpeg, cv cuda or opencv settings you used to achieve the effect.

Program wanted to write novels based on provided (books) data. There must be the opportunity to train with text material provided by myself. The application must run locally (no API used). Using Open-Source LLM, German language. Running on Windows 10 with CUDA 11 or 12. The plot of a section should be entered as input prompt. Output should be a section, not the whole book.

I'm seeking a professional with expertise in Ubuntu and OpenCV to assist me with configuring my EC2 instance. Key Requirements: - Install the latest stable release of OpenCV on my Ubuntu 22.04 LTS EC2 instance. - Install the appropriate CUDA driver to ensure compatibility and optimal performance with OpenCV. - Ensure all installations are correctly configured and fully operational. Ideal Skills: - Deep knowledge and experience with Ubuntu OS. - Proven experience with OpenCV and CUDA installations. - Ability to troubleshoot and resolve potential installation issues. - Excellent communication skills to provide updates and explanations in layman’s terms.

I'm seeking a part-time Python developer who is proficient with tkinter, opencv, cuda, and insightface. The primary focus of this project is implementing a face recognition system. The specific tasks will include: - Face Detection: Identifying faces in different environments and conditions. - Face Matching: Comparing faces and determining if they are the same. - Facial Attribute Analysis: Interpreting various facial features and characteristics. - webcam integration for a windows application - testing and debugging The system needs to be compatible with Windows. Ideal candidates should have extensive experience in Python and the aforementioned libraries. A strong background in computer vision and GUI application development will be an added advantage. Please provide examples ...

I'm seeking help to install OpenCV with CUDA 12.6 inside a Docker container on my Linux machine. The specifics are as follows: - Linux Distribution: Ubuntu 22.04 LTS - Required CUDA version: 12.6 The ideal freelancer for this project should have significant experience with: - Docker - OpenCV - CUDA - Ubuntu Linux Please provide your bid and estimated time for completion. Thank you!

According to the discussion in the chat

A project for optimized CUDA algorhythm according to description for Anthanasios K.

Spyglas,VCS,DC,DFT,Verdi,Catapult,Synplify,VerilogXL,Virtuoso,Xcelium,Spectre,Allegro,Vivado,Quartus,ModleSim, Matlab,Octave,Signal Generator,Logic Analyzer,Anaconda,Tensorflow,Keras,Darknet ,notepad++. Language mastery: Verilog,SystemVerilog,UVM,C,C++,VHDL,Python,Firmware etc. Familiar with using: Linux, Windows,Unix,MS-DOS,FreeRTOS. PreviousFields: AISC/IP/IC design,SOC design/verification,FPGA Design/Verification and debugging,AI (especially deep learning),complex digital systems,complex communication systems,mixed digital and analog systems. Work experience focused in Beijing China 5+ years of ASIC experience and 10+ years of FPGA experience, experienced Senior Technical Lead with a demonstrated history of working in the semiconductors industry. Part of 5+ tape outs....

I'm in need of a electrum BTC address and private key generator compatible with Ubuntu. This should be a command-line interface (CLI) tool, not a graphical user interface (GUI). The primary use of this tool will be for development and testing purposes, so it needs to generate addresses and keys quickly same to same as Electrum generate Please keep in mind: - The tool ...should be a command-line interface (CLI) tool, not a graphical user interface (GUI). The primary use of this tool will be for development and testing purposes, so it needs to generate addresses and keys quickly same to same as Electrum generate Please keep in mind: - The tool must be able to generate a large number of BTC addresses and private keys in a short amount of time. Its should work on Cuda gpu Ful...

...principles and experience with supervised, unsupervised, and reinforcement learning. 5. Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. 6. Performance Tuning: Expertise in optimizing models for deployment in real-time systems and experience with GPU acceleration (e.g., CUDA, TensorRT). 7. Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git. 8. Analytical Skills: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions. 9. ENGLISH Communication: Excellent written and verbal communication skills, with the abil...

...principles and experience with supervised, unsupervised, and reinforcement learning. 5. Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. 6. Performance Tuning: Expertise in optimizing models for deployment in real-time systems and experience with GPU acceleration (e.g., CUDA, TensorRT). 7. Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git. 8. Analytical Skills: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions. 9. ENGLISH Communication: Excellent written and verbal communication skills, with the abil...

First of all, this is related to windows operating system without any use of python. I have build dlib with cuda support in release x64 mode and installed it. Now, i need assistance in building program using visual studio c++ and when i start building it, i get error like, LNK2001 unresolved external symbol cudnnDestroy More information about this issue can be accessed from here, Need someone expert in visual c++ to fix this issue for me. its very simple if you know visual c++ building process.

I'm facing some installation errors with TensorFlow 2.17 while trying to configure it with CUDA. The issues seem to stem from compatibility problems. I require a professional who can: - Diagnose and fix the compatibility issues I’m experiencing. - Help me successfully configure TensorFlow with CUDA. - Provide guidance on preventing similar issues in the future. Ideal candidates for this project should have: - Extensive experience with TensorFlow and CUDA. - Excellent problem-solving skills. - Ability to explain complex technical issues in simple terms.

I'm looking for someone to create a Docker image that will be deployed on a GPU Node on Ru...will be deployed on a GPU Node on RunPod.io. Here are the main requirements: - The image should be based on Ubuntu 22.04 (RunPod reference image will be provided) - These libraries installed: libxkbcommon0 libglu1-mesa libxcomposite1 libasound2 libgl1-mesa-glx libxi6 libxrender1 libxrandr2 libxcursor1 libxinerama1 libxxf86vm1 libxfixes3 libopenal1 libsndfile1 libssl3 ocl-icd-libopencl1 nvidia-cuda-toolkit - The image must be built using Bazel (RunPod Tutorial will be provided) Feel free to create a new Docker account, you will provide me with the credentials at the end of the project. The task must be easy and simple for an experienced Docker developer. Any other questions can be d...

...90% accuracy. The model will use state-of-the-art architectures (e.g., Transformer-based models like Whisper or Conformer) for robust and accurate transcription across diverse accents and languages. GPU Optimization for Real-Time Processing: Optimize the model to run efficiently on GPU hardware, enabling real-time transcription with minimal latency. The application will be designed to leverage CUDA and TensorRT optimizations for seamless GPU utilization. Audio Input Selection: Enable users to choose their preferred audio input device directly from the software interface. This functionality will support environments with multiple audio jacks or connected devices, allowing users to select the most appropriate input source for their needs. User Interface for Accessibility: Develo...

Looking for someone that is an expert in Altera cyclone to help me figure out the issue am having with my blaster connection. Circuit is good and all voltages are in the right place but am not able to connect to Cyclone 3 chip with Quartus

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...Learning and Machine Learning Frameworks ·        • TensorFlow (with GPU support): tensorflow-gpu ·        • PyTorch (with GPU support): torch, torchvision, torchaudio ·        • Keras: keras ·        • XGBoost (with GPU support): xgboost ·        • LightGBM (with GPU support): lightgbm ·        • CatBoost (GPU-supported Gradient Boosting): catboost 2. NVIDIA Libraries for GPU Acceleration ·        • CUDA Toolkit: Essentia...

I'm seeking assistance with installing PyTorch on my Windows machine with compatibility for CUDA version 12.5. Additionally, I need TensorFlow installed as a part of this project. Ideal Skills and Experience: - Extensive knowledge and experience with PyTorch and CUDA installations on Windows - Proficient in setting up TensorFlow alongside PyTorch - Strong troubleshooting skills in case of installation issues - Excellent communication skills for providing clear updates on progress

...Learning and Machine Learning Frameworks ·        • TensorFlow (with GPU support): tensorflow-gpu ·        • PyTorch (with GPU support): torch, torchvision, torchaudio ·        • Keras: keras ·        • XGBoost (with GPU support): xgboost ·        • LightGBM (with GPU support): lightgbm ·        • CatBoost (GPU-supported Gradient Boosting): catboost 2. NVIDIA Libraries for GPU Acceleration ·        • CUDA Toolkit: Essentia...

I...Conda environment using an NVIDIA GPU. The setup should include the installation of all necessary libraries, with a specific focus on TensorFlow. Key Requirements: ThunderSVM:** For GPU-accelerated support vector machines (SVM CuPy:** A NumPy-like library for GPU-accelerated operations. RAPIDS,Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. CUDA Toolkit,Ensure the correct version compatible with all frameworks and my GPU *cuBLAS / cuML,For machine learning operations (part of RAPIDS). *Dask:** For scaling computations across multiple GPUs. TensorFlow and TensoRT / PyTorch,For deep learning with GPU acceleration. *NVIDIA Apex ,For optimizing PyTorch with mixed precision training. *NVIDIA NCCL:** For multi-GPU setups and comm...

...on Ubuntu 20 with CUDA 12.1. The application should include: - A user input interface for vanity searches - Real-time results display - A history log of searched ranges - Include a progress indicator to show the status of the ongoing vanity search. - Allow users to customize input options (e.g., character set, length) for vanity searches. In addition to the client app, I also need the server-side code for vanity search. The server needs to be capable of: - Handling requests from the client app - Managing the computations for the vanity search - Utilizing an SQL-based database for saving ranges The ideal candidate should have a strong understanding of CUDA and experience in creating server code and setting up databases. The client app only needs to be compiled with C...

I'm looking for an experienced FPGA Verification engineer to help with unit testing my existing Verilog code. The primary focus will be on conducting functional tests to ensure the integrity and performance of the code. Ideal Skills: - Proficient in Verilog with significant experience in FPGA software engineering. - Strong background in designing and implementing unit test...tests. - Familiarity with FPGA design and optimization. - Excellent problem-solving skills and attention to detail. Experience: - Proven track record of successful FPGA code testing. - Experience with Class C Software - Experience with writing code and unit test for medical devices - Experience with Verilog is essential, prior experience with VHDL or SystemVerilog is a plus. - Familiarity with Quartus ...

I tried to port GMRES algorithm in C to CUDA code, but having some bugs right now

I'm working on a visualization tool and need an experienced developer skilled in CUDA and computer graphics for enhancing the rendering experience. This will be a mini project, however, successful collaboration can lead to long term projects exceeding 6 months. Key Responsibilities: - Collaborate with our team to implement features that enhance user experience and ensure smooth operation. - Optimize performance for high frame rate rendering. Ideal Skills: - Proficient in CUDA and computer graphics. - Expertise in creating efficient algorithms for graphics rendering. - Strong background with real-time rendering techniques. Your primary focus will be working with hybrid rendering techniques to maintain a high frame rate. If you have a passion for graphics programming an...

...is from this Github repository: Here's the current situation: - Cuda is not running from the terminal - I've already installed the necessary Nvidia drivers for Cuda 11.08. - All dependencies listed in the Github project instructions are installed. What I need: - A freelancer to remotely access my PC via TeamViewer, troubleshoot the Cuda installation issue, and get the software working. - Run through the instructions on Github, solve any issues, and document the solutions. - Run the software on a test video file we provide. Ideal skills for this project would include: - Strong knowledge of Ubuntu operating system - Experience with Cuda installations - Familiarity with troubleshooting software installations from Github - Good documentation skill...

...• Familiarity with Whisper or other speech recognition models (e.g., Google STT, Azure STT). • Proficiency in Python, PyTorch, and experience working with GPUs. • Strong understanding of API integration and app development. • Ability to optimize the model for low-latency, high-accuracy performance. • Prior experience with real-time speech processing is a plus. Preferred Skills: • Experience with CUDA and TensorFlow. • Understanding of real-time audio processing. • Familiarity with Docker or Kubernetes for deployment. • Experience with Kaldi, Praat, Pydub is an advantage Project Scope: This is a freelance project-based role with the possibility of ongoing collaboration. Our target audience is Vietnamese learners of English, and the key...

I am looking for programming sessions (using Meets on any meeting app), 1 on 1, using Rust and maybe Go. I am modifying some crypto mining projects and they use mostly RUST. I can develop on several languages, but i am a novice in RUST and i am finding some limitations with my aknowledge. Giving more details, i am looking to optimize cryp...programming sessions (using Meets on any meeting app), 1 on 1, using Rust and maybe Go. I am modifying some crypto mining projects and they use mostly RUST. I can develop on several languages, but i am a novice in RUST and i am finding some limitations with my aknowledge. Giving more details, i am looking to optimize crypto projects, adapting algos from cpu to cuda, or paralelize in cpu. But my limitation it's mostly on rust, not the ...

I saw a video on a website and thought I could try using it for my livestream, but I don’t quite understand what's on GitHub. I hope you can help me use this content to create an interface that anyone can easily use. 1. Technical Packaging: Wrap the core GitHub technology into a backend service. Users would simply upload photos or videos, and everything (e.g., CUDA setup) happens automatically. 2. User Interface: Design a simple UI with one-click upload and live preview, allowing users to easily see the face-swap results. 3. Streaming Integration: Add compatibility with live streaming software (like OBS) to apply face-swap effects in real-time streams.

...complete Dockerfile that: - Uses an appropriate base image (e.g., `nvidia/cuda`) with CUDA and cuDNN installed. - Installs Python (preferably 3.10.8 or compatible). - Installs TensorFlow with GPU support and PyTorch with GPU support. - Installs dependencies from an `` file. - Sets up a working directory for the application. - Copies the necessary files into the container. - Specifies a default command to run the Python script. 2. Automation Script: A shell script (e.g., ``) that: - Builds the Docker image. - Runs the Docker container with GPU support, ensuring proper volume mapping for your project files. - Technical Specifications - Base Image: Use `nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04` (or latest compatible version). - Python

I'm looking for a skilled programmer who can translate some of my Matlab code into GPU compatible code, specifically to make use of Nvidia A100 SXM4 80GB and NVIDIA H100 80GB HBM3. Key Tasks: - Identify and optimize numerical operations in the Matlab code; . - Translate the optimized code into CUDA. - Run speed tests on the latest GPU to measure performance improvements. The ideal candidate for this job should have extensive experience in both MATLAB and GPU CUDA programming, with a strong focus on performance optimization.

...with GPU-accelerated libraries and frameworks. Here's what I need installed on my system using Conda: **Core Libraries and Frameworks:** - **ThunderSVM:** For GPU-accelerated support vector machines (SVM). - **CuPy:** A NumPy-like library for GPU-accelerated operations. - **RAPIDS:** Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. - **CUDA Toolkit:** Ensure the correct version compatible with all frameworks and my GPU. - **cuBLAS / cuML:** For machine learning operations (part of RAPIDS). - **Dask:** For scaling computations across multiple GPUs. - **TensorFlow / PyTorch:** For deep learning with GPU acceleration. - **NVIDIA Apex:** For optimizing PyTorch with mixed precision training. - **NVIDIA NCCL:** For ...

...environment with GPU-accelerated libraries and frameworks. Here's what I need installed on my system using Conda: **Core Libraries and Frameworks:** - **ThunderSVM:** For GPU-accelerated support vector machines (SVM). - **CuPy:** A NumPy-like library for GPU-accelerated operations. - **RAPIDS:** Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. - **CUDA Toolkit:** Ensure the correct version compatible with all frameworks and my GPU. - **cuBLAS / cuML:** For machine learning operations (part of RAPIDS). - **Dask:** For scaling computations across multiple GPUs. - **TensorFlow / PyTorch:** For deep learning with GPU acceleration. - **NVIDIA Apex:** For optimizing PyTorch with mixed precision training. - **NVIDIA NCCL:** For ...

...environment with GPU-accelerated libraries and frameworks. Here's what I need installed on my system using Conda: **Core Libraries and Frameworks:** - **ThunderSVM:** For GPU-accelerated support vector machines (SVM). - **CuPy:** A NumPy-like library for GPU-accelerated operations. - **RAPIDS:** Including cuML, cuDF, and cuGraph for machine learning, pandas-like operations, and graph analytics. - **CUDA Toolkit:** Ensure the correct version compatible with all frameworks and my GPU. - **cuBLAS / cuML:** For machine learning operations (part of RAPIDS). - **Dask:** For scaling computations across multiple GPUs. - **TensorFlow / PyTorch:** For deep learning with GPU acceleration. - **NVIDIA Apex:** For optimizing PyTorch with mixed precision training. - **NVIDIA NCCL:** For ...

I'm seeking a proficient individual to help me run a project from GitHub on a Google Cloud VM. The project is a Large Language Model (LLM). Project: Ideal skills for this project: - Extensive experience with Google Cloud VM - Proficient in running GitHub projects - Familiarity with Large Language Models (LLM) - Excellent troublesh...Project: Ideal skills for this project: - Extensive experience with Google Cloud VM - Proficient in running GitHub projects - Familiarity with Large Language Models (LLM) - Excellent troubleshooting skills - Strong communication skills Please, bid if you have the necessary skills and experience and have successfully run it. You may need VM with Nvidia CUDA and OpenAI API Key

I'm in need of a C# 4.7.2 WinForms based GUI application. This app is intended to check my CUDA and Python environment for machine learning and deep learning readiness. The application should also run basic tests for these fields. Features: - Check for CUDA and Python compatibility and readiness - Conduct basic machine learning and deep learning tests - Display error messages when issues are detected The application does not need to generate any reports, but it should be able to clearly display error messages when it detects an issue in the environment. Ideal skills for this project: - Proficiency in C# and WinForms - Familiarity with CUDA and Python - Understanding of machine learning and deep learning concepts - Ability to create user-friendly GUI applicatio...