Ysy1052505300's Stars
guanyingc/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
tomdbar/eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
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
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
wouterkool/dpdp
DPDP
ahottung/CVAE-Opt
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
zhangzizhen/Dynamic-AM
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
cle-ros/RoutingNetworks
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
MrSyee/pg-is-all-you-need
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
azl397985856/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
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)
yd-kwon/POMO
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
Lyken17/pytorch-memonger
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
togetherwhenyouwant/toolSet
This is a set of useful tools.
uvipen/Super-mario-bros-PPO-pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
kaixindelele/DRLib
DRLib:a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
openai/random-network-distillation
Code for the paper "Exploration by Random Network Distillation"
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
openai/phasic-policy-gradient
Code for the paper "Phasic Policy Gradient"
binance/binance-spot-api-docs
Official Documentation for the Binance Spot APIs and Streams
hackingthemarkets/binance-tutorials
Real-Time Candlestick Charts and Crypto Trading Bot using Binance API and Websockets
binance-exchange/binance-official-api-docs
Official Documentation for the Binance APIs and Streams
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers