treblegold Goto Github PK

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

bnlstm-pytorch

Batch normalized LSTM with pytorch

conv-knrm

Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search

docker

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

k-hop-gnns

k-hop Graph Neural Networks

ladies

Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine_learing_study

machinelearning_python

机器学习算法python实现

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

multi-ddpg-with-parameter-noise

New reinforcement algorithm base on DDPG

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

notes-linear-algebra

线性代数笔记

python-100-days

Python - 100天从新手到大师

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

sjtu-rl-2019

Assignments of Reinforcement Learning Course in SJTU including DP(Dynamic Programming), MC(Monte-Caro Learning), TD(Temporal-Difference), Sarsa, Q-learning, DQN, A3C and DDPG.

supports_for_aeps

电力系统自动化《考虑电动汽车可调度潜力的充电站两阶段市场投标策略》源代码

tianshou

An elegant PyTorch deep reinforcement learning library.