facebookresearch / irmae
PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679
☆46Updated 2 years ago
Alternatives and similar repositories for irmae:
Users that are interested in irmae are comparing it to the libraries listed below
- ☆41Updated 2 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- ☆31Updated 4 years ago
- Unofficial PyTorch implementation of SimCLR by Chen et al.☆17Updated 5 years ago
- ☆33Updated 2 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- ☆64Updated last year
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆55Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆64Updated 3 years ago
- ☆53Updated 9 months ago
- NP DRAW paper released code☆21Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆33Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- ☆50Updated 4 years ago
- Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch☆40Updated 2 years ago
- ☆30Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- ☆17Updated 4 years ago
- Invertible Generative Flows☆82Updated 4 years ago