williamFalcon / vae_demoLinks
☆9Updated 5 years ago
Alternatives and similar repositories for vae_demo
Users that are interested in vae_demo are comparing it to the libraries listed below
Sorting:
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 3 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- ☆45Updated 5 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- ☆22Updated 6 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆52Updated 4 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 6 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE☆11Updated 8 years ago
- Stats 479 Project☆22Updated 6 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 7 years ago
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"☆14Updated 4 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)☆20Updated 6 years ago
- Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle☆20Updated 4 years ago
- A demonstration of the attention mechanism with some toy experiments and explanations.☆108Updated 6 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆68Updated 11 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Research code need not be ugly.☆77Updated last year
- understanding kl divergence using 1D Gaussians☆14Updated 6 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆68Updated 7 months ago
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 4 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago