Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Reference PyTorch implementation and models for DINOv3

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Awesome-LLM: a curated list of Large Language Model

Collection of leaked system prompts

GIoU for rotated bounding boxes, vectorized and differentiable

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

LAVIS - A One-stop Library for Language-Vision Intelligence

8-bit CUDA functions for PyTorch

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

Earth observation tools for Meta AI Segment Anything

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.

Instruct-tuning LLaMA on consumer hardware

OpenMMLab Computer Vision Foundation

OpenMMLab Detection Toolbox and Benchmark

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

Reading list for research topics in Masked Image Modeling

Ongoing research training transformer models at scale

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Contrastive Language-Image Pretraining

Docker Apache Airflow