Pinned Repositories
active-semi-supervised-clustering
Active semi-supervised clustering algorithms for scikit-learn
CA-TCC
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
ContrastiveLearningHAR
Contrastive Learning (SimCLR) for Human Activity Recognition
DiffAR
DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition (IJCAI 2023)
DiffShape
This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-24).
gitskills
GTN
learngit
LP-DeepSSL
Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
mvts_transformer
Multivariate Time Series Transformer, public version
wqts's Repositories
wqts/active-semi-supervised-clustering
Active semi-supervised clustering algorithms for scikit-learn
wqts/CA-TCC
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
wqts/ContrastiveLearningHAR
Contrastive Learning (SimCLR) for Human Activity Recognition
wqts/DiffAR
DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition (IJCAI 2023)
wqts/DiffShape
This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-24).
wqts/gitskills
wqts/GTN
wqts/learngit
wqts/LP-DeepSSL
Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
wqts/mvts_transformer
Multivariate Time Series Transformer, public version
wqts/neural_prophet
NeuralProphet: A simple forecasting package
wqts/OFTTA
wqts/robustlearn
Robust machine learning for responsible AI
wqts/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
wqts/TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
wqts/time-series-papers
An up-to-date list of time-series related papers in AI venues.
wqts/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
wqts/TS-TFC
This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23).
wqts/ts2vec
A universal time series representation learning framework
wqts/vanillaKD
PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781