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active-passive-losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

apex-amp

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

clip-lung

CLIP-Lung (MICCAI 2023)

clip-lung-miccai2023

The source code will be updated ASAP.

core-ordinal-regression

diffusionclassifier

Official code implement of Robust Classification via a Single Diffusion Model

dreambooth-stable-diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

imagenet-training

A set of examples around pytorch in ImageNet training.

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

lico

NeurIPS 2023

luna16

LUNA16 Lung Nodule Analysis - NWI-IMC037 Final Project

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

poes

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

saliency--pair

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

strided_noise2neighbors

supplementary-for-fan-net

swin-transformer

Implementation of Swin Transformer with Pytorch

terminaltables

Generate simple tables in terminals from a nested list of strings.

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

vit-pytorch

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