Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Neural Networks: Zero to Hero
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Optimize prompts, code, and more with AI-powered Reflective Optimization
Learn how to develop, deploy and iterate on production-grade ML applications.
Google Research
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 music generation LM with textual and melodic conditioning.
Reference PyTorch implementation and models for DINOv3
FinGPT: Open-Source Financial Large Language Models! Revolutionize π₯ We release the trained model on HuggingFace.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A latent text-to-image diffusion model
A game theoretic approach to explain the output of any machine learning model.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
π Text-Prompted Generative Audio Model
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) β a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.