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.

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…

A collection of various deep learning architectures, models, and tips

📡 Simple and ready-to-use tutorials for TensorFlow

This repository contains implementations and illustrative code to accompany DeepMind publications

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Best Practices, code samples, and documentation for Computer Vision.

Reference PyTorch implementation and models for DINOv3

NYU Deep Learning Spring 2020

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Segment Anything in High Quality [NeurIPS 2023]

简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

Tutorials for creating and using ONNX models

Open-source and strong foundation image recognition models.

Bayesian optimization in PyTorch

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

Repository for benchmarking graph neural networks (JMLR 2023)

YoloV3 Implemented in Tensorflow 2.0

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…