#
Starred repositories
45
results
for source starred repositories
written in Jupyter Notebook
Clear filter
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
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
12 Weeks, 24 Lessons, AI for All!
🔊 Text-Prompted Generative Audio Model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
llama3 implementation one matrix multiplication at a time
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Foundational Models for State-of-the-Art Speech and Text Translation
Official inference library for Mistral models
Python toolkit for quantitative finance
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Understanding Deep Learning - Simon J.D. Prince
Zero-Shot Speech Editing and Text-to-Speech in the Wild
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Official Code for Stable Cascade