huyangc

OpenROAD-flow-scripts

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

optolithium

Optical lithography simulation software

nlopt

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

GraphQSat

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

or-tools

Google's Operations Research tools:

lstools-showcase

Showcase examples for EPFL logic synthesis libraries

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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.

dgl

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

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

google-research

Google Research

yosys

Yosys Open SYnthesis Suite

SoTA-Point-Cloud

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

DREAMPlace

Deep learning toolkit-enabled VLSI placement

mmcv

OpenMMLab Computer Vision Foundation

skorch

A scikit-learn compatible neural network library that wraps PyTorch

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

pytorch-slimming

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

open_lth

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

comparxiv

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

lottery-ticket-hypothesis

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

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

mindspore

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

elastic

PyTorch elastic training

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), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

autogluon

Fast and Accurate ML in 3 Lines of Code

once-for-all

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

brain-tokyo-workshop

🧠🗼

RobustDARTS

ignite

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