snooky23 / K-Sparse-AutoEncoderLinks
Sparse Auto Encoder and regular MNIST classification with mini batch's
☆24Updated 3 months ago
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:
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆35Updated 6 years ago
- Time-Contrastive Learning☆65Updated 7 years ago
- ☆120Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated 2 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆32Updated 4 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆50Updated 4 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Contrastive Variational Autoencoders☆70Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Discovering directional relations via minimum predictive information regularization☆24Updated 5 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: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 3 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆204Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- Multi Task Learning Package for Matlab☆21Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆60Updated 2 years ago
- ☆98Updated 6 years ago
- Online Robust Principal Component Analysis☆95Updated 5 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆98Updated 7 months ago