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robustvae

Robuast Variational Autoencoder

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

semisupervised-matlab

Semisupervised learning codes

siamesenetworks-pytorch

An implementation of Contrastive Loss in PyTorch using Siamese Networks

slarda

ssl_comparison

A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?

stochasticlda

Python implementation of Stochastic Variational Inference for LDA

subtab

The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

tab-ddpm

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

taisl

(ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensor-robust-pca-and-tensor-completion-under-linear-transform

Tensor robust PCA (TRPCA) and tensor completion based on tensor nuclear norm under linear transform

tensorflow-implementation-of-dbn-including-gbrbm-bbrbm-

The application of RBM using tensorflow. Including DBN and mult-type RBM (GBRBM, BBRBM)

tensorpca

Tensor Principal Component Analysis ---> https://arxiv.org/abs/2212.12981

timegan-pytorch

Pytorch implementation of the paper "Time-series Generative Adversarial Networks".

torch-multi-head-attention

Multi-head attention in PyTorch

transferable-query-selection

Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)

transformer

Transformer: PyTorch Implementation of "Attention Is All You Need"

tri-learning-with-pytorch

Implementation for Semisupervised Tri-Learning with Pytorch

unn

Causal Neural Nerwork

wica

WICA: nonlinear weighted ICA