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xiaochanghu's Projects

awesome-incremental-learning

Awesome Incremental Learning

awesome-normalization-techniques

Papers for normalization techniques, released codes collections.

awesome-semi-supervised-learning

:scroll: A curated list of awesome semi-supervised learning methods & papers.

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

continual-learning-benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

df-daelm

Robust semi-supervised classification based on data augmented online ELMs with deep features (Knowledge-Based Systems)

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

fmix

Official implementation of 'Understanding and Enhancing Mixed Sample Data Augmentation'

gluon-cv

Gluon CV Toolkit

gridcell

TensorFlow code for paper: Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion

imbalanced-dataset-sampler

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

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

mantis

Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks

p-mix

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning

pseudolabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

realistic-ssl-evaluation-pytorch

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

rodnet

RODNet: Radar object detection network

self-label

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

ssl-nag

Semi-Supervised Learning with nonlinear representation and adaptive graph

ssl_graph

Semi supervised learning on graphs

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

torch-toolbox

[Active development]ToolBox to make using Pytorch much easier.

tricks-of-semi-superviseddeepleanring-pytorch

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

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