liuyehong Goto Github PK
Name: Liu Yehong
Type: User
Bio: Machine Learning Researcher
Location: China
Name: Liu Yehong
Type: User
Bio: Machine Learning Researcher
Location: China
Algorithm for the estimation of average holding price.
**的Quant相关资源索引
Collaborative Gradient Boosting
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Random Crystal
OpenAI based DRL platform for market making.
Mask RCNN in TensorFlow
Generate Adversarial Ensemble
A toolkit for developing and comparing reinforcement learning algorithms.
Environment for reinforcement-learning algorithmic trading models
algorithm for hash series
Python sync/async framework for Interactive Brokers API
Models and examples built with TensorFlow
Alpha finding, strategy developing tool with automatic optimization.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Time Series Classification Benchmark with LSTM, VGG, ResNet
Deep Q-learning driven stock trader bot
A Tensorflow implementation of QANet for machine reading comprehension
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Computation using data flow graphs for scalable machine learning
Tensorflow tutorial from basic to hard
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.