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.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

深度学习入门教程, 优秀文章, Deep Learning Tutorial

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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…

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

PyTorch code and models for the DINOv2 self-supervised learning method.

this repository accompanies the book "Grokking Deep Learning"

A scikit-learn compatible neural network library that wraps PyTorch

Segment Anything in High Quality [NeurIPS 2023]

Segment Anything in Medical Images

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

Official implementation of SAM-Med2D

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函…

Segment Anything for Microscopy

Contains the note for the Approaching(Almost) any Machine Learning Problem by Abhishek Thakur.

How to train an object detection model with mmdetection

deep learning model of organoid viability