snakers4 / playing_with_vaeLinks
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
☆64Updated 7 years ago
Alternatives and similar repositories for playing_with_vae
Users that are interested in playing_with_vae are comparing it to the libraries listed below
Sorting:
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- Starter code for the CellSignal NeurIPS 2019 competition.☆45Updated 4 months ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 7 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆146Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆92Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Hyper-parameter optimization for Keras☆46Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated 2 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…☆86Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- ☆17Updated 6 years ago
- ☆74Updated 6 years ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆159Updated 9 months ago
- A simple Python implementation of R-PCA☆247Updated 2 years ago
- ☆25Updated 3 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.☆28Updated 7 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 6 years ago