asahi417 / ConditionalVariationalAutoEncoderLinks
Implement Conditional VAE and train on MNIST by tensorflow 1.3.0.
☆10Updated 8 years ago
Alternatives and similar repositories for ConditionalVariationalAutoEncoder
Users that are interested in ConditionalVariationalAutoEncoder are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 7 years ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Updated 8 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆23Updated last month
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- ☆11Updated 8 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆217Updated 2 years ago
- ☆121Updated 6 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆91Updated 7 years ago
- Transformer Variational Autoencoder experiment☆50Updated 6 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- ☆63Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Quantitative evaluation of disentangled representations☆63Updated 7 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing☆12Updated last year
- ☆91Updated 6 years ago
- A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)☆142Updated 4 years ago
- Spectral Alignment of Graphs☆11Updated 8 years ago
- ☆18Updated 4 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 4 years ago
- Perform bayesian distribution regression☆13Updated 7 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago