Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai book, published as Jupyter Notebooks

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

PRML algorithms implemented in Python

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Understanding Deep Learning - Simon J.D. Prince

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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Language-Agnostic SEntence Representations

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Google Colaboratory Notebooks and Repositories (by @firmai)