Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

The fastai book, published as Jupyter Notebooks

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

Companion webpage to the book "Mathematics For Machine Learning"

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

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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

YSDA course in Natural Language Processing

this repository accompanies the book "Grokking Deep Learning"

A course in reinforcement learning in the wild

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Машинное обучение на ФКН ВШЭ

The fast.ai course notebooks

Open Content for self-directed learning in data science

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)

DL course co-developed by YSDA, HSE and Skoltech

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…

Some ipython notebooks implementing AI algorithms