snooky23 / K-Sparse-AutoEncoderLinks
Sparse Auto Encoder and regular MNIST classification with mini batch's
☆23Updated last month
Alternatives and similar repositories for K-Sparse-AutoEncoder
Users that are interested in K-Sparse-AutoEncoder are comparing it to the libraries listed below
Sorting:
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 6 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ☆97Updated 6 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- ☆119Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Discovering directional relations via minimum predictive information regularization☆24Updated 5 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 4 years ago
- ☆91Updated 2 years ago
- Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf☆33Updated 6 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆48Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- ☆18Updated 3 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- Dropout as Regularization and Bayesian Approximation☆58Updated 6 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆97Updated 5 months ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Updated 7 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- demonstration of the information bottleneck theory for deep learning☆65Updated 7 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆205Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆101Updated 4 years ago
- ☆42Updated 2 years ago
- Python package for graph-based clustering and semi-supervised learning☆96Updated 3 weeks ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago