gqduke

APLA

augmentation_mia

The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?

awesome-artificial-intelligence-research

A curated list of Artificial Intelligence (AI) Research

Awesome-LongTailed-Recognition

BalancedMetaSoftmax-Classification

Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets

Bi-Sampling

This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille).

Dive-into-DL-PyTorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

ML-note

note for ml

TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

tyut_dm_research_resources

Research resources for department of computer software and theory of TYUT.

gqduke/tyut_dm_research_resources

Research resources for department of computer software and theory of TYUT.

gqduke/APLA

gqduke/augmentation_mia

The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?

gqduke/BalancedMetaSoftmax-Classification

Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets

gqduke/Bi-Sampling

This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille).

gqduke/ML-note

note for ml

gqduke/TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

gqduke/Class-Balanced-Distillation-for-Long-Tailed-Visual-Recognition.pytorch

Un-offical PyTorch Implementation of "Class-Balanced Distillation for Long-Tailed Visual Recognition" paper.

gqduke/Class-Distribution-Aware_TS_LS

gqduke/DARP

Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

gqduke/daso

A placeholder repository for the paper `Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.

gqduke/fixmatch

A simple method to perform semi-supervised learning with limited data.

gqduke/FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

gqduke/GDW-NIPS2021

This repository is the official implementation of Generalized Data Weighting via Class-level Gradient Manipulation (NeurIPS 2021)(http://arxiv.org/abs/2111.00056).

gqduke/ICCV2021-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

gqduke/IJCAI_2021_Continual_Crowd_Counting_Challenge

Dataset and Baseline for Continual Crowd Counting Challenge @ CSSL 2021 Workshop (IJCAI 2021)

gqduke/imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

gqduke/imbalanced-semi-self

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

gqduke/ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

gqduke/neural_network_papers

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

gqduke/pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

gqduke/research_resources

Resources of CQU CS 1701 research, include NLP, Knowledge Graph,Cloud Computing, etc.

gqduke/SDCLR

[ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

gqduke/Self-Tuning

Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)

gqduke/semi-sup

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

gqduke/Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

gqduke/simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

gqduke/sinkhorn-label-allocation

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms.

gqduke/Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

gqduke/VS-Loss

Label-Imbalanced and Group-Sensitive Classification under Overparameterization