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adsh_pytorch

Source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

animal-nas

This repository include animal behavior recognition

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-multimodal-research

A curated list of Multimodal Related Research.

awesome-small-molecule-ml

A curated list of resources for machine learning for small-molecule drug discovery

awesome-video-text-retrieval

A curated list of deep learning resources for video-text retrieval.

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cross-meida-evaluation

Evaluation cross-media retrieval using a new protocol.

deep-learning-for-image-retrieval

Page to list the related works on deep learning for image retrieval.

deep-person-reid

Deep learning person re-identification in PyTorch.

deephash-papers

Must-read papers on deep learning to hash (DeepHash)

dmf_mvc

AAAI 17 work

dsdh-hashingcode

dsdh_pytorch

Source code for paper "Deep Supervised Discrete Hashing" on NeurIPS-2017

fastgcn-matlab

FastGCN in Matlab and companion codes for analysis of SGD with biased but consistent gradient estimators

learnopencv

Learn OpenCV : C++ and Python Examples

lihang-code

《统计学习方法》的代码实现

machine-learning

讲解常见的机器学习算法

machine_leaning_engineer_udacity_nanodegree

matconvnet

MatConvNet: CNNs for MATLAB

matlab-utils

Various useful matllab functions

metalearningpapers

A classified list of meta learning papers based on realm.

minconfounded_chapter

Chapter 5? An extension of the paper competition submission

multilearning

pytorch-data-generator

Template for data generator with PyTorch

pytorch-metric-learning

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

tensorflow

Computation using data flow graphs for scalable machine learning

tools

Some useful tools or scripts(for examlpe: download papers)

transformer4vision

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.