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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
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