Viddesh1
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Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Free and Open Source Reverse Engineering Platform powered by rizin
An open-source user mode debugger for Windows. Optimized for reverse engineering and malware analysis.
Turns Data and AI algorithms into production-ready web applications in no time.
⚛️ A module for solving and visualizing the Schrödinger equation.
Modular visual interface for GDB in Python
Python supercharged for the fastai library
Create delightful software with Jupyter Notebooks
The fastest way to create an HTML app
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
Video+code lecture on building nanoGPT from scratch
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Large Action Model framework to develop AI Web Agents
[ECCV 2024] HiDiffusion: Increases the resolution and speed of your diffusion model by only adding a single line of code!
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
llama3 implementation one matrix multiplication at a time
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Lime: Explaining the predictions of any machine learning classifier
API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
Data validation using Python type hints
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A game theoretic approach to explain the output of any machine learning model.