clementchadebec / Data_Augmentation_with_VAE-DALILinks
☆18Updated 3 years ago
Alternatives and similar repositories for Data_Augmentation_with_VAE-DALI
Users that are interested in Data_Augmentation_with_VAE-DALI are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'☆20Updated 5 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 4 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆141Updated 2 years ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆59Updated 4 years ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated 2 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆74Updated 4 years ago
- ☆35Updated 2 months ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- PyTorch Implementations of a VAE and a beta-VAE.☆60Updated 4 years ago
- Experiments for DeepSHAP paper.☆19Updated 3 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.☆24Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 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
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM☆15Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- ☆38Updated 5 years ago