only-changer

only-changer'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:Python33.9k47418.9k5.8k

• MingchaoZhu/InterpretableMLBook

  《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

  4.9k1537690

• martinarjovsky/WassersteinGAN

  Language:Python3.2k10461725

• Thinklab-SJTU/ThinkMatch

  A research protocol for deep graph matching.

  Language:Python8342070118

• Hanjun-Dai/graph_comb_opt

  Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

  Language:C++4951833135

• katerakelly/oyster

  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

  Language:Python4722231125

• shekkizh/WassersteinGAN.tensorflow

  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

  Language:Python4172813130

• chaitjo/graph-convnet-tsp

  Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

  Language:Python30351265

• uber-research/poet

  Paired Open-Ended Trailblazer (POET) and Enhanced POET

  Language:Python24215453

• locuslab/e2e-model-learning

  Task-based end-to-end model learning in stochastic optimization

  Language:Python19914761

• Thinklab-SJTU/CSL_RetinaNet_Tensorflow

  Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label

  Language:Python19071432

• uber-research/ape-x

  This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"

  Language:Python19011622

• xijunlee/Learning-to-Optimize-Arxiv

  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.

  1584036

• isl-org/NPHard

  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

  Language:Python15217448

• facebookresearch/neural-rewriter

  Learning to Perform Local Rewriting for Combinatorial Optimization

  Language:Python14971148

• The-OpenROAD-Project/TritonRoute

  UCSD Detailed Router

  Language:C++7992426

• louiskirsch/metagenrl

  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

  Language:Python662813

• peizhaoli05/EDA_GNN

  Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

  Language:Python644619

• huaxiuyao/HSML

  HSML for ICML 2019

  Language:Python514112

• haiguanl/RLCO-Papers

  Paper collection of reinforcement learning based combinatorial optimization

  45608

• handspeaker/gan_practice

  dcgan,wgan and improved wgan implementation by tensorflow

  Language:Python353214

• xinkang/fgm

  213019

• MustafaMustafa/WassersteinGAN-TensorFlow

  WassersteinGAN-TensorFlow

  Language:Python17625

• EDAAC/EDAAC

  EDA Analytics Central

  Language:Python14228

• jlowenz/rrwm

  Reweighted Random Walk Matching (RRWM) code repository from http://cv.snu.ac.kr/research/~RRWM/

  Language:Matlab142

• huaxiuyao/HSML_Dynamic

  HSML Dynamic version for ICML 2019

  Language:Python12101

• hanxiongwei/L2O-Solver-Papers

  11203

• Lyken17/Echoo

  Let your program echo to you.

  Language:Python8301

• echofist/RL-and-CO

  Papers on Reinforcement Learning and Combinatorial Optimization

  4200

• ChenXinhao/acm-compiler-judge

  Language:Python1101