bamboosong Goto Github PK

a2c_keras

The implementation of A2C (reinforcement learning algorithm)

bitcointradingbotwithopenai

Training openAI Gym in Bitcoin trading environment.

botvs_extend_api_demo

零成本快速打造你自己专属的多用户量化交易平台

checkmate

A lightweight class for saving the best Tensorflow checkpoints.

deep-reinforcement-learning-practice

Practice of Deep Reinforcement Learning with Keras and gym.

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

deeplearningnotes

机器学习和量化分析学习进行中

dlstock

探索深度学习应用在股票的方法

fanqiang

翻墙-科学上网

fxdayu_data

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

jaqs-fxdayu

jaqs-fxdayu:股票多因子策略研究和分析框架jaqs拓展包

keras-sru

Implementation of Simple Recurrent Unit in Keras

options-with-oois

Options with Option-Observation Initiation Sets, using Policy Gradient, Keras and the OpenAI Gym

pyautotrading

quantaxis

QUANTAXIS 量化金融框架 Quantitative Financial Framework 中小型策略团队解决方案

reinforcement-learning

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

rqalpha-mod-fxdayu-source

rqalpha拓展数据和事件源，支持分钟级别回测，实时交易，支持quantos数据源

rqalpha-mod-shipane-wrapper

RQAlpha mod to connect shipane with config options rather than intrusiving strategy code

shipane-python-sdk

实盘♠易（ShiPanE）Python SDK，通达信、同花顺自动化交易 API 及量化平台。

srnn

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

strategy

掘金策略集锦

strategy-1

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....

treasure