huyangc

huyangc's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.9k47919.2k5.9k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.7k7531.3k8k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.9k3189494.8k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.7k1752.8k3k

• google/or-tools

  Google's Operations Research tools:

  Language:C++11.5k3103k2.2k

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.2k971.5k941

• open-mmlab/mmcv

  OpenMMLab Computer Vision Foundation

  Language:Python6k851.2k1.7k

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.9k81520392

• MegEngine/MegEngine

  MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

  Language:C++4.8k137371541

• pytorch/ignite

  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

  Language:Python4.6k601.4k623

• 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++4.4k148281717

• YosysHQ/yosys

  Yosys Open SYnthesis Suite

  Language:C++3.6k1371.8k898

• facebookresearch/PyTorch-BigGraph

  Generate embeddings from large-scale graph-structured data.

  Language:Python3.4k90196452

• stevengj/nlopt

  library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

  Language:C1.9k74367601

• mit-han-lab/once-for-all

  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

  Language:Python1.9k5375334

• facebookresearch/ClassyVision

  An end-to-end PyTorch framework for image and video classification

  Language:Python1.6k7077276

• QingyongHu/SoTA-Point-Cloud

  🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

  1.6k744190

• google/brain-tokyo-workshop

  🧠🗼

  Language:Jupyter Notebook1.3k3827338

• limbo018/DREAMPlace

  Deep learning toolkit-enabled VLSI placement

  Language:C++73722167208

• pytorch/elastic

  PyTorch elastic training

  Language:Python730376298

• google-research/lottery-ticket-hypothesis

  A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

  Language:Python7143214140

• facebookresearch/open_lth

  A repository in preparation for open-sourcing lottery ticket hypothesis code.

  Language:Python6265512113

• foolwood/pytorch-slimming

  Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

  Language:Python570111695

• kahypar/kahypar

  KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

  Language:C++4421913494

• The-OpenROAD-Project/OpenROAD-flow-scripts

  OpenROAD's scripts implementing an RTL-to-GDS Flow. Documentation at https://openroad-flow-scripts.readthedocs.io/en/latest/

  Language:Verilog36713402297

• temken/comparxiv

  Compare two version of an arXiv preprint with a single command.

  Language:Python35361125

• lsils/lstools-showcase

  Showcase examples for EPFL logic synthesis libraries

  Language:CSS19115031

• xthebat/optolithium

  Optical lithography simulation software

  Language:C++1258042

• NVIDIA/GraphQSat

  Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver

  Language:C++534019

• MetaAnonym/RobustDARTS

  Language:Python40513