Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
Riemannian Adaptive Optimization Methods with pytorch optim
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
A Data Streaming Library for Efficient Neural Network Training
A PyTorch library and evaluation platform for end-to-end compression research
Enabling PyTorch on XLA Devices (e.g. Google TPU)
Vector (and Scalar) Quantization, in Pytorch
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
Build high-performance AI models with modular building blocks
NBA sports betting using machine learning
An open-source Python framework for hybrid quantum-classical machine learning.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
HSF C++ Course
Open source courseware for Git and GitHub
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
Omega-AI is a Java-based deep learning framework that helps you quickly build neural networks for inference and training. Its engine supports automatic differentiation, multithreading, and GPU acceleration with CUDA and cuDNN.
This is a tracking repo for all our AI projects. 🍕 🤖🍼
Reliable, minimal and scalable library for pretraining foundation and world models
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Deep-Learning framework for Engineering AI. Built on transformer building blocks, it delivers the full engineering stack, allowing teams to build, train, and operate industrial simulation models across engineering verticals.
Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."
PyTorch template for Deep Learning projects with support for scalable multi-GPU and multi-node training.
Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focused on building neural networks from scratch.
Deep Learning based NLP modeling for Russian language
DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
24,545 repositories in the index in total.
