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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
A latent text-to-image diffusion model
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.
Learn how to develop, deploy and iterate on production-grade ML applications.
A simple screen parsing tool towards pure vision based GUI agent
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…
A guidance language for controlling large language models.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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…
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
StableLM: Stability AI Language Models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Image restoration with neural networks but without learning.
A series of large language models trained from scratch by developers @01-ai
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task b…
TensorFlow Basic Tutorial Labs
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…