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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Anthropic's educational courses
💿 Free software that works great, and also happens to be open-source Python.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Official Code for Stable Cascade
Code for Tensorflow Machine Learning Cookbook
Create delightful software with Jupyter Notebooks
A computer science textbook
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Beaker Extensions for Jupyter Notebook
A collection of guides and examples for the Gemma open models from Google.
Demonstrations of Magenta Models
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Tools to train a generative model on arbitrary audio samples
Utility functions for handling MIDI data in a nice/intuitive way.
Digital Signal Processing - Theory and Computational Examples