dianshan14

imgaug

Image augmentation for machine learning experiments.

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

detr

End-to-End Object Detection with Transformers

leetcode-patterns

A pattern-based approach for learning technical interview questions

NYU-DLSP20

NYU Deep Learning Spring 2020

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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)

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

tnt

A lightweight library for PyTorch training tools and utilities

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

pdbpp

pdb++, a drop-in replacement for pdb (the Python debugger)

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

English-for-Programmers

《程式英文》：用英文提昇程式可讀性

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

SRFlow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

pytorch-wgan

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

continual_learning_papers

Relevant papers in Continual Learning

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

powerful-benchmarker

A library for ML benchmarking. It's powerful.

JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

Proxy-Anchor-CVPR2020

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

proxy-nca

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.

dml_cross_entropy

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

incremental-learning

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

LargeScaleIncrementalLearning

End-to-End-Incremental-Learning

Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]