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advanced_ml

PML sildes

agah

Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".

awesome-asynchronous-federated-learning

📦 Collect some Asynchronous Federated Learning papers.

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-federated-machine-learning

Everything about federated learning, including research papers, codes, tutorials, blogs and beyond

awesome-few-shot-class-incremental-learning

Awesome Few-Shot Class-Incremental Learning

awesome-incremental-learning

Awesome Incremental Learning

awesome-incremental-learning-with-pre-trained-models

📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-open-world-learning

Awesome-open-world-learning

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

awesome_prompting_papers_in_computer_vision

A curated list of prompt-based paper in computer vision and vision-language learning.

chatgptcommand

My prompts about chatgpt3.5

cpah

crossmodaltransformer

Fork from Yanwang, for coding improvement

dcmh

PyTorch implementation for paper "Deep Cross-Modal Hashing"

deep-cross-modal-hashing

Deep learning cross modal hashing in PyTorch

deep-learning-for-beginners

Deep Learning for Beginners, published by Packt

deephash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

dsdh-hashingcode

githubgraduation-2022

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

hello-world

First repository of me

lah

latex-talk-graduate

南方科技大学研究生院LaTeX模板使用培训

markdown-tutorial

README文件语法解读，即Github Flavored Markdown语法介绍

multi-modal-hashing-retrieval

The baselines of multi-modal hashing retrieval.

nsfc_report

国自然基金结题报告下载，仅用于方便离线观看。

online-continual-learning

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

programming-fundamentals

Programming Fundamentals