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ABIDES: Agent-Based Interactive Discrete Event Simulation
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Covering Natural Language Processing (NLP), Term Frequency-Inverse Document Frequency (TF-IDF), Singular Value Decomposition (SVD), K-Means, t-Distributed Stochastic Neighbor Embedding (t-SNE) and many other techniques for data scraping, feature engineering and data visualization to demonstrate how we can cluster data from scratch.
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
A deep learning model for Financial Signal Representation and Trading
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Financial Big Data and Quantitative Analytics, Spring 2021.
A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
原神抽卡记录数据集-Genshin Impact gacha data
a python 3 library based on deap providing abstraction layers for symbolic regression problems.
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
A general purpose Library for Evolutionary Algorithms in Python.
Benchmark Dataset of Limit Order Book in China Markets
Monte Carlo tree search in JAX
A project that provides help for using DeepMind's mctx on gym-style environments.
Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
Deep Reinforcement Learning with pytorch & visdom
try
Replication of A Stochastic Model for Order Book Dynamics by Cont, Stoikov, and Talreja, 2010
Pytorch Implementation of Google's TFT
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.