The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Grok open release

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Deep Active Learning

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

ASTRA: AI Stock Trading and Recommendation Advisor

A Harder ImageNet Test Set (CVPR 2021)

FirebaseUI is an open-source JavaScript library for Web that provides simple, customizable UI bindings on top of Firebase SDKs to eliminate boilerplate code and promote best practices.

Awesome Knowledge Distillation

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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.

Official repo for consistency models.

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Reverse engineered ChatGPT API

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

A simple Python implementation of forward-forward NN training by G. Hinton from NeurIPS 2022

Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.

An implementation of the BADGE batch active learning algorithm.

Corruption and Perturbation Robustness (ICLR 2019)

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

OpenMMLab Detection Toolbox and Benchmark