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awesome-high-frequency-trading

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cleanrl

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

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

elegantrl

Massively Parallel Deep Reinforcement Learning. 🔥

feature-engine-examples

feature-engineering-for-time-series-forecasting

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

finrl

FinRL: Financial Reinforcement Learning. 🔥

freqtrade

Free, open source crypto trading bot

github-final-project

gkpbt-css-circle

css-circle

google-cloud-project-introduction-to-git-and-github

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello-world

hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

ibm-data-science

ibm-github

ibm-machine-learning-certificate-projects

Projects for ML courses on Supervised Learning, Unsupervised Learning, Deep Learning, Reinforcement Learning and specialized topics such as Time Series Analysis and Survival Analysis :robot:

ibm-machine-learning-professional-certificate

Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.

ibm-python-project-for-data-engineer-

jbbmo-introduction-to-git-and-github

Introduction to Git and GitHub

jupyter

Jupyter metapackage for installation, docs and chat

keras-rl

Deep Reinforcement Learning for Keras.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

ml-hft

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.