Starred repositories
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
A Python implementation of global optimization with gaussian processes.
A curated list of practical financial machine learning tools and applications.
Simple examples to introduce PyTorch
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
QuantStart.com - QSTrader backtesting simulation engine.
Keras Temporal Convolutional Network.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Use unsupervised and supervised learning to predict stocks
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).
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Deep Learning for Time Series Classification
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
A program for financial portfolio management, analysis and optimisation.
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great J…
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Algorithmic trading framework for cryptocurrencies.
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent