facebookresearch / disentangling-correlated-factorsLinks
A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.
☆74Updated 2 years ago
Alternatives and similar repositories for disentangling-correlated-factors
Users that are interested in disentangling-correlated-factors are comparing it to the libraries listed below
Sorting:
- ☆109Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 2 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- ☆41Updated last year
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Package for working with hypernetworks in PyTorch.☆128Updated last year
- ☆51Updated 4 years ago
- A σ-VAE implementation in PyTorch☆98Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆41Updated 2 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆144Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆22Updated 4 years ago
- Multimodal Mixture-of-Experts VAE☆212Updated 2 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆90Updated 11 months ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- A minimalist implementation of score-based diffusion model☆127Updated 3 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Neural Diffusion Processes☆81Updated 11 months ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆121Updated 2 years ago
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated 8 months ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆99Updated last year
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆53Updated 2 years ago