Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Natural Language Processing Tutorial for Deep Learning Researchers
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
LAVIS - A One-stop Library for Language-Vision Intelligence
QLoRA: Efficient Finetuning of Quantized LLMs
Code release for NeRF (Neural Radiance Fields)
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 YOLO11, RT-DETR, SAM …
Image restoration with neural networks but without learning.
A series of large language models trained from scratch by developers @01-ai
Using Low-rank adaptation to quickly fine-tune diffusion models.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
CoreNet: A library for training deep neural networks
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Taming Transformers for High-Resolution Image Synthesis
COCO API - Dataset @ http://cocodataset.org/