huoliangyu Goto Github PK

12306

12306智能刷票，订票

ai-deadlines

:alarm_clock: AI conference deadline countdowns

app-net

astream

A DASH segment size aware rate adaptation model for DASH

baselines-results

buaa_course_sharing

北京航空航天大学(北航)课程作业资料共享计划

chinese-chess-with-deep-reinforcement-learning

Chinese chess with Deep Reinforcement Learning in cpp and python, to be completed. I have a problem with cpp-python-tf communication now.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cre-ns3

Cognitive Radio Extension for NS3

dash

An MPEG/DASH client-server module for simulating rate adaptation mechanisms over HTTP/TCP.

ddz-ai

以孤立语假设和宽度优先搜索为基础，构建了一种多通道堆叠注意力Transformer结构的斗地主ai

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepqoe_pytorch

DeepQoE: A unified framework for learning to predict video QoE (ICME2018 oral)

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

defoggan

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

feudal_networks

An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161

garage

A toolkit for reproducible reinforcement learning research

gluon-cv

Gluon CV Toolkit

gtn

This repo provides code for all the results reported in GTN paper.

holdem_calc

Texas Hold'em Odds Calculator

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_attention_tf

Add attention layer to LSTM/word2vec model for sentiment analysis using tensorflow

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

markbook

用Markdown写书。

meta-learning-for-starcraft-ii-minigames

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.