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
2,672 results
Personal deep learning study notes and tutorial-style notebooks
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
YomiTokuはAIを活用した日本語文書解析エンジンを提供するPythonパッケージです。 Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.
Open standard for machine learning interoperability
《神经网络与深度学习：案例与实践》第二版：10 章 PyTorch 实践、Notebook、测试与电子书。
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Collective communications library with various primitives for multi-machine training.
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TensorFlow.js.
Deep learning software to decode EEG, ECG or MEG signals
AI Toolkit for Healthcare Imaging
XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.
Scalable and user friendly neural :brain: forecasting algorithms.
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.
Physics-Informed Neural networks for Advanced modeling
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
An Engine-Agnostic Deep Learning Framework in Java
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.
C++ Implementation of PyTorch Tutorials for Everyone
24,540 repositories in the index in total.
