中国控制会议（CCC）论文模板，包含Word和LaTeX

latex template for undergraduate student in University of Science & Technology Beijing (USTB)

Latex template for University of Science and Technology Beijing

Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020

This is a PyTorch implementation of the paper VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".

Semi-supervised Regression GAN

Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.

Python机器学习算法技术博客，有原创干货！有code实践！ 【更多内容敬请关注公众号 "算法进阶"】

Implementation of TabTransformer, attention network for tabular data, in Pytorch

Code for the Kaggle Ensembling Guide Article on MLWave

Unofficial PyTorch implementation of "Meta Pseudo Labels"

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

Re-implement FixMatch in Paddle

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

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

Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

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

The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

基于自学习（伪标签）的数据自动标注算法（半监督）

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

For the paper: "Semi-Supervised Structured Prediction with Neural CRF Autoencoder"

Models and examples built with TensorFlow