A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

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

Python training for business analysts and traders

Collection of notebooks about quantitative finance, with interactive python code.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Payload is the open-source, fullstack Next.js framework, giving you instant backend superpowers. Get a full TypeScript backend and admin panel instantly. Use Payload as a headless CMS or for buildi…

Curated List of React Components & Libraries.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A curated list of awesome CCXT assets, resources, and more.

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

My personal notes, presentations, and notebooks on everything Deep Learning.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

The Open Source Data Science Masters

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.