YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

deep learning for image processing including classification and object-detection etc.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

《Pytorch模型训练实用教程》中配套代码

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

A Keras implementation of YOLOv3 (Tensorflow backend)

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Open source Structure-from-Motion pipeline

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Efficient vision foundation models for high-resolution generation and perception.

OpenMMLab Model Deployment Framework

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)

这是一个unet-pytorch的源码，可以训练自己的模型

Meta-Transformer for Unified Multimodal Learning

Synchronized Batch Normalization implementation in PyTorch.

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

tfts: Time Series Deep Learning Models in TensorFlow

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios