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alphatree-graphic-deep-neural-network

深度神经网络(DNN)与对抗神经网络(GAN)模型总览图示，建立模型发展路书(roadmap),方便大家的理解与学习

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-multimodal-research

A curated list of Multimodal Related Research.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

c-hmcnn

Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"

cac-openset

Code for Class Anchor Clustering loss for training a distance-based open set classifier

cbir

🏞 A content-based image retrieval (CBIR) system

centroids-reid

On the Unreasonable Effectiveness of Centroids in Image Retrieval

classyvision

An end-to-end PyTorch framework for image and video classification

covid-19-xray-dataset

12000+ manually drawn pixel-level lung segmentations, with and without covid

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

customized-dataloader-pytorch

Customized DataLoader for multi label dataset classification-pytorch implementation

data-mining-conferences

Ranking, acceptance rate, deadline, and publication tips.

deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

disco-pytorch

Code for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning

gcm-cf

[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition

hcl

hierarchicalcontrastivelearning

hyperbolic-image-embeddings

Supplementary code for the paper "Hyperbolic Image Embeddings".

hyperbolic_zsl

Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

inat_comp

iNaturalist competition details

jieba

结巴中文分词

libmr

Library for Meta-Recognition and Weibull based calibration of SVM data.

machine-learning-notes

This is the notes of the way of machine learning study. You may find something useful in it.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

medical-data

medical-datasets

tracking medical datasets, with a focus on medical imaging