runqing-formost Goto Github PK

aml-kd

ancor

Fine-grained Angular Contrastive Learning with Coarse Labels - Official Repository

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

background-substraction-using-gmm

Implementation of Background Substraction using Gaussian mixture model and using OpenCV library.

backgroundsutractorproject

cdr

ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels

cs-kd

Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

deep-mutual-learning

An unofficial implementation of Deep Mutual Learning by Pytorch to do classification on cifar100.

deep_metric

Deep Metric Learning

defectivechessboardproject

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

densenet-tensorflow

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

elr

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

evidentialmix

PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels

example_forgetting

fnkd

Feature Normalized Knowledge Distillation for Image Classification

google-research

Google Research

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

hydra

Code and checkpoints of compressed networks for the paper titled "On Pruning Adversarially Robust Neural Networks" (https://arxiv.org/abs/2002.10509).

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

ickd

Offical Code for Paper "Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation"

jigsawpuzzlepytorch

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

jocor

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

labelnoisecorrection

Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction

labelnoisemoit

Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"

lp-deepssl

Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning

machinelearning

《统计学习方法》相关的机器学习实现代码。Machine Learning.

machinelearning_ng_python

吴恩达机器学习算法Python实现，附详细的代码注释。