Pytorch to onnx to tensorrttrabajos

...fréquentes dans les systèmes autonomes comme les voitures afin de détecter les obstacles (piétons, autres voitures, panneaux de signalisations) et les drones de surveillance. Les algorithmes de machine learning domine le monde d’Intelligence Artificielle récemment. Pour cela, nous allons utiliser un modèle de classification basé sur le machine learning. Pour plateforme logicielle, nous allons utiliser PyTorch. En utilisant cette technique, écrivez deux fonctions temps_cpu_app et temps_cpu_inf pour estimer le temps d'exécuter de l'apprentissage et de l'inférence. N'oubliez pas de commentez les lignes d'affichage. Pour l'inférence, il ne faut considérer que le t...

Looking for a deep learning expert who will help with the implementing YOLO v4 in pytorch with all Bag of freebies (Bof) & Bag of specials (BoS).

Make a best model using Name Entity Recognition which could read all the fields and texts from the documents. The documents are basically company forms. You can use deep learning libraries like pytorch and pytesseract for extracting the images. I have the csv file and all the company forms

You should be really good in deep learning in Matlab and PyTorch. please contact me if interested

I would like to learn and build a portfolio with these subjects: -artificial intelligence -machine learning -computer vision -python -pytorch -keras I need someone to go through steps with me.. I can pay less than 5 dollars/hour

I am looking for someone to convert the .py written code to jupyter notebook and add some codes. The code is written in Pytorch so he must train it for 100 and 150 epochs with Flickr dataset. Want to get it done in 1 day.

I have a csv file containing details of 3 companies with around 10 columns. So, i need to use NER or named entity recognition and also pytorch in google colab or jupyter notebook to correctly predicty the category. so, basically when i upload the image or pdf file it should automatically show the category name i mean which company it belongs to. PS: Python language and Pytorch library is must.

I am looking for someone to train the attend and tell paper on Pytorch with different architecture and Vgg16. Ping me for more details.

Keras Tensorflow2 framework for deep learning frameworks. Use of Pytorch

Logistic Regression and your own Neural Network for Image Classification using pytorch

We have legacy code using caffe and opencv to do some recognition on image/video. i need to migrate them to ubuntu 18.04 with openvino. currently we have working NN on CPU with pytorch, we want to move them on caffe and VPU (movidius). We have also NN files for caffè.

Write a python code that will use keras/pytorch package to predict COVID19 death toll (for the next seven days i.e., if the training dataset has data upto date April 7, 2020; use data till the date of March 31, 2020 as training data and then predict the death toll and number of patients diagnosed as COVID19 patient) using LSTM and Deep-Autoencoder. You should vary the number of inputs/window size (i.e, how many information from the past days should be used as input to predict the next day/seven days) and report all the results in graph. Then conclude which result is the best and why. (for the Deep autoencoder use the stacked version of the Dense layers. You can vary the number of layers from 2 to 10 and report the results of each of the configuration.) I will s...

Hi there, We have a github project that we would like to have someone train on a couple of our photo data sets. The project is using Pytorch and machine learning to create 3d renderings from batches of photos. The MVP will be a fully rendered scene from our photos, showing the power of this methodology. The job is considered done when we are able to successfully train our model, and recreate a scene from photos of the subject. Thanks!

Hi there, We have a github project that we would like to have someone train on a couple of our photo data sets. The project is using Pytorch and machine learning to create 3d renderings from batches of photos. The MVP will be a fully rendered scene from our photos, showing the power of this methodology. The job is considered done when we are able to successfully train our model, and recreate a scene from photos of the subject. Thanks!

Hi there, We have a github project that we would like to have someone train on a couple of our photo data sets. The project is using Pytorch and machine learning to create 3d renderings from batches of photos. The MVP will be a fully rendered scene from our photos, showing the power of this methodology. The job is considered done when we are able to successfully train our model, and recreate a scene from photos of the subject. Thanks!

I need...identification: - Tensorflow or pytorch frameworks can be used - It should be neural network based application (CNN or RNN) - Open source project can be used There will be three main functionality of this project 1- Model train: I will provide 100 different speaker wav files to train the model 2- Feature extraction and vector creation: After model has trained with 100 speakers. New speakers will be indexed with this model to create the index for that speaker. 3- With new wav file it should be possible to identify the similarity matrix with the vectors that are stored previously Success of this project will be identified by giving few different wav files and seeing if the algorithm will identify the known speaker with highest score. I will provide 10...

I am looking to do some experiments in transfer learning using Resnet18 in Pytorch using Python. Currently I replace the fully connected layer as follows : fc_inputs = model.fc.in_features = ((fc_inputs, num_classes),) I am trying to figure out how to remove conv5_x and connect the fully connected layer to the conv4_x layer. ( Or connect it to conv3_x ) I want to compare the results tapping into the network at different places. Can you show me how to do this and give me a quote?

Design a digit detection and recognition system which takes in a single image and returns any sequence of digits visible in that image. For example, if the input image contains a home address 123 Main Street, you algorithm should return “123”.

I have created a bidirectional recurrent neural network in pytorch. It runs just fine. I am looking for assistance in adding an additional input layer into the model now. In the attachment, I have the code for red part, looking to add the blue part to it.

Notebook jupyter project that uses tensorflow, but pytorch is allowed too. It consists of several tasks about basic machine learning and neural networks. Contact me for the details.

...layer has 784 input neurons. This is because each image in MNIST dataset is 28x28 and you need to stretch them to a length‐784 vector. 200 and 50 are the number of neurons in hidden layers. 10 is the number of neurons in output layer since there are 10 types of digits. -The two hidden layers are followed by ReLU layers. -The output layer is a softmax layer. Use a deep learning framework to train and test this network. For dataset loading in Pytorch, you can refer to the following example code: (feel free to use tensor but I’m not sure how you would go about loading the mnist dataset) I've included a py file to download the MNIST database if you need it ...

We have a ONNX model, please check its structure and rewrite it using pytorch. It's a model for people segmentation( get people's boundary from image). It should be able to retrain and run using pytorch.

i was following this code in training time i tried to change I3D or TC3D by replacing C3D which used in this work but i don't have any good results. Recently i have found social mil paper (which i have uploaded) you might see they use some other brunch to generate social force map for extracting crowd interaction. my goal is similar, so instead of using social MIL learning gan/semantic segmentations/ attention network or saliency network? also i saw some recent work from slow fast network by facebook + tiny video network from google and keeping the last layer (global pool) "" please be noted that i don't

I need you to develop some software for me. I would like this in any language (python, java, php using framework o any software - pytorch, tensorflow, ...). I have 1,000,000 items (tenders in Italy) to educate the software. The software must call about 100,000 url, check if the content has changed since the previous check (some links require login and are not all of the same type). Then extract the modified data and understand if they are similar to the starting database and if it is a tender. Finally it would also be useful to be able to recognize some data. PS: Sorry for my english.

I need to optimise a PyTorch convolution operation described here (EquiConv) and implemented in PyTorch here The goal is to understand this code and suggest routes to optimise it, maybe by pre-compute as much as possible (using LUT ?) or finding a way to implement it differently / faster. Here is an idea using meshgrid Another approach could be to look into Deformable Convolutions v2 instead of v1 (see ) A good way to test your speed improvements is to train EfficientNet modified to support EquiConv with a few dummy images and compare

looking for help in machine learning exercise. working knowledge on: Python programming. Pytorch basics. Word embedding basics. Unix command line basics (cat, head, tail, awk). check attached file.

I want a simple flask video classifier . where the user will upload the video and classify it as fake or real. All the back-end code with trained model is ready . I want to just get the front-end developed by the freelancer. The excepted templates are attached in file. The Model is a pytorch model.

I'm looking for someone who can convert the code at from Pytorch to TF 2.0.

I'm looking for someone who can convert the code at from Pytorch to TF 2.0.

I'm looking for someone who can convert the code at from Pytorch to TF 2.0.

A basic NeuralNetwork will be implemented with single neuron for image classification without using libraries such as PyTorch or Tensorflow. The project will be implemented using only Python (NO MATLAB).

Hi, I have a detailed system model, with state space, space, what parameter(s) will contribute to the reward, how the system parameters will be evolving with certain input then producing certain output, etc.   Now, I want to apply deep Q-network/reinforcement learning/ some advanced DQN in my model with tensorflow/pytorch.

I have ONNX model which can detect landmarks on a face image. The solution is running well in python. I am looking for a .NET console project in windows visual studio which can do the following. 1) Using , load the ONNX model 2) Detect the landmarks and plot it on face the face image, save it to disk. Kindly bid if you have experience in python, visual studio .NET and ONNX.

...company with at least 3-5 years of practical working experience and able to troubleshoot and explain well in simple way in the online training on the following Devops Stack with best possible cheaper rate. 1. Docker and Docker Compose, GitHub, Gi tops, CI and CD with Azure Devops Kubernetes manage and setup helm charts setup, Bash and PowerShell scripting expert. , python modules Tensor flow pytorch NLP etc. with related to AI work solutions architect, MS SQL databases setup and training and other stuffs. 6. Ubuntu Server Admin expert 7. VS Studio and VS code expert. 8. Terraform and AWS CloudFormation, AWS cloud setup etc. 9. Python Modules for AI, ML such as TensorFlow, pytorch etc for last phase. If you are interested, please let me know or message

Job description • Minimum Education - Accredited Bachelor's degree • Experience - minimum 3 years of experience in Artificial intelligence/Machine learning • Requirements - o At least 2 commercial product development project experience (preferably in Pytorch). o Hands-on coding/development experience in Pytorch. Keras and TensorFlow (acceptable for the right candidate). o Extensive knowledge of Python programming, Python libraries, and Linux platform. R would be a plus. • Required Resources – 2 • Type - Contract Initial for 3 months/Part timers • Work type - 100% Remote • Timings - Flexible hours (Can be based anywhere in the world)

Dear Pytorch ONNX experts, I want to convert a model trained in pytorch into ONNX format and use it. The project in above link has two tasks. It will first do Face detection and then Face Landmark detection. The Face Landmark detection is done using a model trained in pytorch. This landmark detection model needed to be converted into ONNX model. The final expected delivery is as follows. 1) Using the dlib face detection module, crop the face and save it into a directory 2) Using the onnx model, detect face landmarks for all the faces in the directory For further details, kindly check the following link. Please feel free to ask for any clarifications

Dear Pytorch ONNX experts, I want to convert a model trained in pytorch into ONNX format and use it. The project in above link has two tasks. It will first do Face detection and then Face Landmark detection. The Face Landmark detection is done using a model trained in pytorch. This landmark detection model needed to be converted into ONNX model. The final expected delivery is as follows. 1) Using the dlib face detection module, crop the face and save it into a directory 2) Using the onnx model, detect face landmarks for all the faces in the directory For further details, kindly check the following link. Please feel free to ask for any clarifications

...circuit From Client to Onion Server When client send request, We need to simulate all workflow with python using not torrequest, pytorch Only socket python library will be used to be implemented our task. 1. Tor Circuit will be contstructed with 3 nodes. Their connection will be managed for request with public key and private key. Target is simulating between them 2. Last node of tor circuit will send request to onion server. at this time onion server has his own ip address. in case of that this ip address is ipv4, this will be mapped to onion server. so python should be recognized from ipv4 address to onion url. 3. Tor browser so will encrypt client's ip address so that onion server don't know client's...

In need of a skilled and experienced NLP/ML developer for long term project. This candidate would be responsible for supporting the creation of a self-learning NLP application, where data can be analyzed for semantic identification and similarity. Requirements; ...in Javascript, XML, JSON, API concepts, MERN Deep understanding of text representation techniques (such as n-grams, bag of words word embeddings, word2vec, sentiment analysis etc), statistics and classification algorithms. Experience in semantic analysis using deep learning and machine learning tools and libraries. hands-on experience in deep learning frameworks, e.g OpenCV, Tensorflow, Keras, Pytorch, or Caffe. Experience in creating training models and running evaluation experiments against the models. Strong communicat...

Write a program to play a game using PyTorch

Hi Muhammad Junaid K., I noticed your profile and would like to offer you my project. Can you work in Pytorch and do you have experience regarding neural style transfer? Accept the project after having a chat with me

The following site generates neural style transfer image. I want get similar result with pytorch source code. I can accept github open source too. If you have experience in neural style, please bid on here.

The following site generates neural style transfer image. I want get similar result with pytorch source code. I can accept github open source too. If you have experience in neural style, please bid on here.

I need to design a portfolio website for datascience. I have attached here some websites that I like, but you feel free to do what is best inspiration. The content will be educational discussion about artificial neural networks Page1: Index page: * Brief presentation of website * 4 categories: Neuralnets classification Neuralnets Regression Convnets and Rnns Tips (Python, Pandas, Pytorch, Numpy), Page2: Categories details * Brief summary of models on the page * Table summarizing models in the categories Table columns (Model Name, Framework, Data, publish date) Page 3: Model details * Intro picture * Intro text * Lessons learned section (left of page) * Tips for newbies section (right of page) * Details code (text) Page 4: About Page * Author pictur...

Implement a Reformer model that can generate text for a conversational dataset. There are two open-source repositori...generate text for a conversational dataset. There are two open-source repositories that you may use: Requirements: 1. Support a conversational dataset that looks like this: 2. Distributed training (data parallelism). 3. Generate output from a start prefix and until an end token. Using top_p &&/|| top_k. 4. Save/resume model. 5. Option to train until the end of epoch (one data pass) not just by iterations/batches. 6. It needs to work on GPU (not TPU). Since most of the code is already open-sourced, I expect you to implement it quickly.

Please check the bellow link . I want to train this maodel with DUTS dataset with 0.05 loss. Only those develpoepr is experiencd in Pytorch and model traing only bid. By budget is only $50 .

Please check the bellow link . I want to train this maodel with DUTS dataset with 0.05 loss. Only those develpoepr is experiencd in Pytorch and model traing only bid. By budget is only $50 .

Senior Data Scientist Pytho...Knime (or similar)), databases (SQL/NoSQL). Experience in Keras, TensorFlow and/or PyTorch. Natural language processing (NLP), ideally with respect to transfer learning. Create clear visualizations in relevant packages/software (e.g. ggplot, tableau, Microsoft BI, seaborn). Experience in the development of APIs in microservices for a variety of platform requirements. Azure Cloud experience Experience of cloud technologies, ideally AWS and Azure Linux & Unix administration experience Basic experience of databases (Oracle, MySQL or MSSQL), DNS and monitoring concepts Data cleansing and data transformation experience Experience assisting infrastructure management with capacity planning Experience pushing data to MS SQL and Azure storage t...

i want 3d geometry reconstruction pytorch 3d library api

Must have: Semantic semantic network (SPARQL, linkde Data, RDF, OWL, swrl, RuleMl, etc.); Experience with ontologies ; Experience in operating and / or developing a knowledge storage sy...databases (particularly graph databases); Experience with microservice architectures; Experience with Machine Learning (techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, etc.); Experience Deep Learning; Experience in Natural Language Processing and in particular Information Extraction; Experience with standard data technologies Science (PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow,NumPy, MatLab, etc.); Experience in creating storage architecture and data processing and knowledge (data architectures, data models, data warehouses/da...