forcewang

forcewang's Stars

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.7k1.3k

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.3k2.2k

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python29.8k2.7k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python3.6k1.2k

• nschloe/meshio

  :spider_web: input/output for many mesh formats

  Language:Python1.9k396

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25.3k2.3k

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python11.4k2.4k

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python9.9k2.2k

• mindspore-ai/mindspore

  MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

  Language:C++4.2k700

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k26.2k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.8k9.6k

• tensorflow/addons

  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

  Language:Python1.7k610

• mindspore-ai/infrastructure

  The codes that boot up the mindspore community

  Language:Dockerfile4419

• mila-iqia/myia

  Myia prototyping

  Language:Python45546

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.2k3.2k

• testerSunshine/12306

  12306智能刷票，订票

  Language:Python33.7k9.8k

• LiyuanLucasLiu/RAdam

  On the Variance of the Adaptive Learning Rate and Beyond

  Language:Python2.5k335

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k44.3k

• yu4u/mixup-generator

  An implementation of "mixup: Beyond Empirical Risk Minimization"

  Language:Jupyter Notebook28347

• tyohei/chainerkfac

  A Chainer extension for K-FAC

  Language:Python193

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14k1.8k

• bytedance/byteps

  A high performance and generic framework for distributed DNN training

  Language:Python3.6k488

• facebookresearch/WSL-Images

  Weakly Supervised Learning On Images

  Language:Python59763

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.2k1.1k

• alecwangcq/KFAC-Pytorch

  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

  Language:Python12532

• yaroslavvb/kfac_pytorch

  Language:Python13119

• mctorch/mctorch

  A manifold optimization library for deep learning

  Language:Python23213

• tensorflow/kfac

  An implementation of KFAC for TensorFlow

  Language:Python19740

• ipcjs/bilibili-helper

  各种油猴脚本

  Language:JavaScript3.9k328