Alternatives and similar repositories for K-Sparse-AutoEncoder:

Users that are interested in K-Sparse-AutoEncoder are comparing it to the libraries listed below

• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆23Updated 5 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆58Updated last year
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆21Updated 5 years ago
• USC-Melady / KDD19-CoSTCo
  ☆21Updated last year
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated last year
• anassinator / bnn
  Bayesian Neural Network in PyTorch
  ☆83Updated 9 months ago
• fanzhenya / ResNet1D-VariableLengthPooling-For-TimeSeries
  ResNet-1D and Variable Length Pooling for time series data like speech
  ☆33Updated 6 years ago
• syorami / Autoencoders-Variants
  Pytorch implementations of various types of autoencoders
  ☆67Updated 6 years ago
• Dolores2333 / ExtraMAE
  Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)
  ☆37Updated 2 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆64Updated 6 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• KurochkinAlexey / SOM-VAE
  Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf
  ☆31Updated 5 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆70Updated 2 years ago
• wxiao0421 / onlineRPCA
  Online Robust Principal Component Analysis
  ☆93Updated 5 years ago
• mmcdermott / CWR-GAN
  The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
  ☆23Updated 6 years ago
• Mind-the-Pineapple / adversarial-autoencoder
  Tensorflow 2.0 implementation of Adversarial Autoencoders
  ☆20Updated 5 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆124Updated last month
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆38Updated 4 years ago
• mohammadbashiri / tensor-decomposition-in-python
  A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python
  ☆63Updated 11 months ago
• matwilso / maml_numpy
  Implementation of MAML in numpy, deriving gradients and implementing backprop manually
  ☆14Updated 6 years ago
• is0383kk / Pytorch_VAE-GMM
  Implementation of a model to make VAE and GMM train from each other
  ☆27Updated 2 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆61Updated last year
• xuwd11 / Dropout_Tutorial_in_PyTorch
  Dropout as Regularization and Bayesian Approximation
  ☆57Updated 6 years ago
• LCAS / RKN
  ☆47Updated 2 years ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆30Updated 3 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆18Updated 4 years ago