ldeecke / gmm-torchLinks
Gaussian mixture models in PyTorch.
☆570Updated 2 years ago
Alternatives and similar repositories for gmm-torch
Users that are interested in gmm-torch are comparing it to the libraries listed below
Sorting:
- Approximating Wasserstein distances with PyTorch☆459Updated 2 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆342Updated 4 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆445Updated 7 years ago
- Mutual Information Neural Estimation in Pytorch☆334Updated 10 months ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆427Updated 3 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆823Updated 4 years ago
- kmeans using PyTorch☆515Updated 2 years ago
- Geometric loss functions between point clouds, images and volumes☆646Updated 4 months ago
- (FTML 2021) Official implementation of Dynamical VAEs☆232Updated 2 years ago
- Experiments for understanding disentanglement in VAE latent representations☆825Updated 2 years ago
- Implementation of Real NVP in PyTorch☆234Updated 6 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆360Updated 4 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆627Updated 4 years ago
- Contrastive Predictive Coding for Automatic Speaker Verification☆498Updated 5 years ago
- Mixture Density Networks for PyTorch☆221Updated 7 months ago
- PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)☆269Updated 4 years ago
- PyTorch implementation of normalizing flow models☆870Updated last year
- Minimalist implementation of VQ-VAE in Pytorch☆547Updated 4 years ago
- Framework for Easily Invertible Architectures☆822Updated last year
- Normalizing flows in PyTorch☆943Updated 7 months ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆385Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆630Updated 3 years ago
- Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch☆638Updated 2 months ago
- Pytorch implementation of β-VAE☆550Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 6 years ago
- A pytorch port of google-research/google-research/robust_loss/☆687Updated 4 years ago
- This is a pytorch implementation of k-means clustering algorithm☆321Updated 5 months ago
- A PyTorch implementation of L-BFGS.☆612Updated 2 years ago