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21 Lessons, Get Started Building with Generative AI
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
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.
Python Data Science Handbook: full text in Jupyter Notebooks
Google Research
A game theoretic approach to explain the output of any machine learning model.
A simple screen parsing tool towards pure vision based GUI agent
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Instruct-tune LLaMA on consumer hardware
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A collection of various deep learning architectures, models, and tips
StableLM: Stability AI Language Models
Natural Language Processing Tutorial for Deep Learning Researchers
Foundational Models for State-of-the-Art Speech and Text Translation
This repository contains demos I made with the Transformers library by HuggingFace.
QLoRA: Efficient Finetuning of Quantized LLMs
Official inference library for Mistral models
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
Understanding Deep Learning - Simon J.D. Prince
Book about interpretable machine learning
A Bulletproof Way to Generate Structured JSON from Language Models
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Everything you need to know to build your own RAG application