kyrie10favor,Kyrie10favor,github

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

alphaclip

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

cal

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

cvpr2022-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

docker-sample

A sample of building docker image.

efficient_imagenet_classification

An efficient implementation for ImageNet classification

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faceattract

Facial Attractiveness Prediction via Co-Attention Learning

fastsam

Fast Segment Anything

focalloss_for_multiclass

Focal loss for multiple class classification

genome-assembly

constructed a De Bruijn graph of genomic sequences to find Eulerian cycle between k-mers

imageprocessing100wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

jiujia

小程序：知苗易约抢九价开源

objectdetectiondatasets

目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本

paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

pytorch-grad-cam

PyTorch implementation of Grad-CAM

pytorch-multi-class-focal-loss

An implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

pytorch2tensorrt

CUDA10.0, CUDNN7.5.0, TensorRT7.0.0.11

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

repvgg

RepVGG: Making VGG-style ConvNets Great Again

resnest

ResNeSt: Split-Attention Networks

sam

SAM: Sharpness-Aware Minimization (PyTorch)

sam-adapter-pytorch

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

segment-anything

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.

sniper

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

yet-another-efficientdet-pytorch

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

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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