Repository Index

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

• quantitative-finance
• machine-learning
• stock-data
• platform

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

Best Practices on Recommendation Systems

• machine-learning
• recommender
• ranking
• deep-learning

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

• quant
• trade
• machine-learning
• bitcoin

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

• reinforcement-learning
• reinforcement-learning-algorithms
• machine-learning
• gym

Minimal and clean examples of machine learning algorithms implementations

• machine-learning
• deep-learning
• neural-networks
• machine-learning-algorithms

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

• wandb
• reinforcement-learning
• pytorch
• python

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

• adaboost
• logistic
• svm
• smo

Uplift modeling and causal inference with machine learning algorithms

• incubation
• machine-learning
• causal-inference
• uplift-modeling

NVIDIA cuML: GPU-Accelerated Machine Learning

• machine-learning-algorithms
• machine-learning
• cuda
• gpu

A Python implementation of LightFM, a hybrid recommendation algorithm.

• machine-learning
• recommender
• python
• matrix-factorization

modular quant framework.

• stock
• quant
• fintech
• trading-platform

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

• quantum
• machine-learning
• deep-learning
• neural-network

The machine learning toolkit for time series analysis in Python

• time-series
• timeseries
• time-series-analysis
• time-series-clustering

StellarGraph - Machine Learning on Graphs

• graphs
• machine-learning
• machine-learning-algorithms
• graph-convolutional-networks

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

• ai
• fairness-ai
• fairness
• fairness-testing

Algorithms for explaining machine learning models

• machine-learning
• explanations
• interpretability
• counterfactual

A modular active learning framework for Python

• scikit-learn
• machine-learning
• python
• active-learning

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

• visualization
• python3
• python
• xgboost

Metric learning algorithms in Python

• python
• metric-learning
• scikit-learn
• machine-learning

A research toolkit for particle swarm optimization in Python

• particle-swarm-optimization
• optimization-tools
• pso
• global-optimization