OpenMMLab Detection Toolbox and Benchmark

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

OpenMMLab Foundational Library for Training Deep Learning Models

OpenMMLab Computer Vision Foundation

Google Research

We write your reusable computer vision tools. 💜

The official implementation for [ACMMM25] Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection

🤗 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.

Ultralytics YOLO 🚀

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

All Algorithms implemented in Python

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

OpenMMLab Pose Estimation Toolbox and Benchmark.

Examples and guides for using the OpenAI API

scikit-learn: machine learning in Python

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

groq-api-cookbook

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…

Swift demonstration of how to build a Slack app that enables end-users to interact with a ChatGPT bot

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Notebooks using the Hugging Face libraries 🤗

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models

[ECCV2024] PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"