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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
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.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Python toolkit for quantitative finance
An open-source, low-code machine learning library in Python
Playing Pokemon Red with Reinforcement Learning
Book about interpretable machine learning
Tutorials and programming exercises for learning Q# and quantum computing
Microsoft Quantum Development Kit Samples
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Beaker Extensions for Jupyter Notebook
This is a workshop designed for Amazon Bedrock a foundational model service.
EPFL Machine Learning Course, Fall 2025
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Python library for Multi-Armed Bandits
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.