Ysy1052505300

Ysy1052505300's Stars

• guanyingc/latex_paper_writing_tips

  Tips for Writing a Research Paper using LaTeX

  Language:TeX2.4k311

• tomdbar/eco-dqn

  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

  Language:Python7924

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.6k193

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.7k773

• MLNLP-World/Paper-Writing-Tips

  MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

  3.5k447

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.3k1.3k

• wouterkool/dpdp

  DPDP

  Language:Python9115

• ahottung/CVAE-Opt

  Learning a Latent Search Space for Routing Problems using Variational Autoencoders

  Language:Python254

• zhangzizhen/Dynamic-AM

  A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

  3

• cle-ros/RoutingNetworks

  Language:Python6417

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k441

• MrSyee/pg-is-all-you-need

  Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

  Language:Jupyter Notebook846118

• azl397985856/leetcode

  LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

  Language:JavaScript54.4k9.4k

• MisterBooo/LeetCodeAnimation

  Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

  Language:Java75.3k14k

• yd-kwon/POMO

  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

  Language:Python14340

• Lyken17/pytorch-memonger

  Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

  Language:Python58753

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• SimonVandenhende/Awesome-Multi-Task-Learning

  A list of multi-task learning papers and projects.

  35951

• togetherwhenyouwant/toolSet

  This is a set of useful tools.

  Language:Python72

• uvipen/Super-mario-bros-PPO-pytorch

  Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

  Language:Python1.1k200

• kaixindelele/DRLib

  DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

  Language:Python50770

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.6k832

• openai/random-network-distillation

  Code for the paper "Exploration by Random Network Distillation"

  Language:Python870160

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k588

• openai/phasic-policy-gradient

  Code for the paper "Phasic Policy Gradient"

  Language:Python24358

• binance/binance-spot-api-docs

  Official Documentation for the Binance Spot APIs and Streams

  3.9k1.3k

• hackingthemarkets/binance-tutorials

  Real-Time Candlestick Charts and Crypto Trading Bot using Binance API and Websockets

  Language:Python858494

• binance-exchange/binance-official-api-docs

  Official Documentation for the Binance APIs and Streams

  4k2.1k

• pytorch/ignite

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

  Language:Python4.5k610

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.8k8k