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acpl

Code for "ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification" [CVPR 2022]

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

c-tran

General Multi-label Image Classification with Transformers

curricula

When do curricula work?

curriculumnet

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

cv_interviews_q-a

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

deepfillv2

deepfillv2_pytorch

df_rail

dvcs-ripper

Rip web accessible (distributed) version control systems: SVN/GIT/HG...

fixmatch

A simple method to perform semi-supervised learning with limited data.

follow-me-install-kubernetes-cluster

和我一步步部署 kubernetes 集群

gcn-py

Semi-Supervised classification with Graph Convolution Networks using Pytorch

gcn-tf

Implementation of Graph Convolutional Networks in TensorFlow

git

git_test

githack

A `.git` folder disclosure exploit

glove

GloVe model for distributed word representation

hwcc_image_classification

本赛题任务是对西安的热门景点、美食、特产、民俗、工艺品等图片进行分类，即首先识别出图片中物品的类别（比如大雁塔、肉夹馍等），然后根据图片分类的规则，输出该图片中物品属于景点、美食、特产、民俗和工艺品中的哪一种。

iblending

This is a Pytorch implementation of deep image blending

iharmony

[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.

inception_v4

ind_knn_ad

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

learning

日常学习记录

mixoe

Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

ml_decoder

Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

mlir-gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

paddlevit

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

piid

pretrain

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.