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paperflight's Projects

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

e-xh-downloader icon e-xh-downloader

It is a spider exhen downloader for e-hen and exhen in MacOS system, based on ObjectC and C++. I just post here and want it become better with the help from everyone. If you don't know what I am talking about just ignore.

fed-mf-mal icon fed-mf-mal

This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios

federated icon federated

A framework for implementing federated learning

gpt2-chinese icon gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

handson-ml icon 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.

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

maddpg icon maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

ns3-mmwave icon ns3-mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

open_spiel icon open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

python icon python

All Algorithms implemented in Python

rainbow icon rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

reinforcement-learning icon reinforcement-learning

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

rl-adventure icon rl-adventure

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

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