snakers4 / playing_with_vaeLinks
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
☆65Updated 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
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 7 years ago
- Starter code for the CellSignal NeurIPS 2019 competition.☆45Updated 6 months ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆47Updated 7 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆160Updated 10 months ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆92Updated 7 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ☆17Updated 6 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆236Updated 7 years ago
- Python library for working with kernel methods in machine learning☆121Updated 6 years ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- ☆74Updated 6 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Updated 5 years ago
- Disentangled Variational Auto-Encoder in TensorFlow / Keras (Beta-VAE)☆54Updated 6 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 3 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 6 years ago
- python, scala, and pyspark code for few dimensional reduction algorithms☆62Updated 8 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated last year
- Several maximum likelihood ICA algorithms, including Picard☆23Updated 8 years ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆128Updated last week
- 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
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 4 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago