hexi519 Goto Github PK

a3c_indigo

DRL in Network Congestion Control. Completion of the A3C implementation of Indigo based on the original Indigo codes. Tested on Pantheon.

berkeleydeeprlcourse-homework-pytorch

Assignments for CS294-112 Fall2018 in Pytorch

berkeleydeeprlcourse-homework-pytorch-solution

Solutions for CS294-112 Fall2018 assignments in Pytorch

codessnippets

commonconfig

Jinzhe Zeng's vimrc file, including several plugins.

compararisonofudt

comparing-tcp-algorithms

Simulating TCP congestion control algorithms with ns-3 and visualizing the result with matplotlib.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

demonstrating-congestion-control

Demonstrating Congestion Control

effectivemoderncppchinese

《Effective Modern C++》翻译 - 2019.6更新中

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

fsdl-text-recognizer-project

gitignore

A collection of useful .gitignore templates

hexi519.github.io

indigo

Empirically learned congestion control by imitation learning with RNNs

init

init.sh

learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

leetcode_practise

practise leetcode

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

morl

Multi-Objective Reinforcement Learning

mrte_icnp20

Multi-region TE project

pantheon

Pantheon of Congestion Control

pcc-rl

Reinforcement learning resources for PCC.

pcc-uspace

The userspace implementations of PCC.

prml_hw

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

rl_code

RL-code for beginners. Enjoying!