wisdom0530 Goto Github PK

1_1_dreamplace

Deep learning toolkit-enabled VLSI placement

2_1_auto-lambda

The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships".

2_2_awesome-multi-task-learning

2021 up-to-date list of papers on Multi-Task Learning (MTL), mainly for Computer Vision.

2_3_nash-mtl

Official implementation of "Multi-Task Learning as a Bargaining Game".

3_2_multiobjectivesampling

3_3_continuousparetomtl

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

4_1_bluefog

Distributed and decentralized training framework for PyTorch over graph

4_2_horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

4_3_bagua

Bagua Speeds up PyTorch

6_1_min-max

Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021

8_1_dro_p-dro

Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

8_2_fastdro-minmaxopt

Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization

8_3_distributionally-robust-optimization-for-deep-kernel-multiple-instance-learning

8_4_gate-sizing

Optimal gate sizing of digital circuits using geometric programming

9_1_ripple

Pin-Accessible Legalization for Mixed-Cell-Height Circuits

9_2_amf-placer

AMF-Placer: An open-source analytical mixed-size FPGA placer

9_3_rl_mabwiser

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

autodmp

auxinash

Official implementation of Auxiliary learning as an Bargaining Game.

awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

awesome-eda

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

boom-explorer-public

The open-sourced version of BOOM-Explorer

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cppnumericalsolvers

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

darts

Differentiable architecture search for convolutional and recurrent networks

deep-learning-with-pytorch-chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

dr-cu

Dr. CU, VLSI Detailed Routing Tool Developed by CUHK

dreamplacefpga

An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit

hkust_optimization

香港科技大学 凸优化