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lgh0504's Projects

pytorch-rl icon pytorch-rl

DQN, Reinforce, A2C (Reference: https://github.com/pytorch)

pytorch-rl-1 icon pytorch-rl-1

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

qdb icon qdb

Quantopian Remote Debugger for Python

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

qsharp icon qsharp

interprocess communication between C# and kdb+

quant-trading icon quant-trading

Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo

quantum icon quantum

Powerful multi-threaded coroutine dispatcher and parallel execution engine

rl-stock icon rl-stock

📈 如何用深度强化学习自动炒股

rltrader icon rltrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

rocalphago icon rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

scinet icon scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.

stable-baselines3 icon stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

stock-price-prediction icon stock-price-prediction

Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

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