stfc-sciml / daeLinks
Contains the code for the ICML 2023 paper, entitled "Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations"
☆13Updated 2 years ago
Alternatives and similar repositories for dae
Users that are interested in dae are comparing it to the libraries listed below
Sorting:
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆370Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Updated 4 years ago
- The official PyTorch implementation for NCSNv2 (NeurIPS 2020)☆319Updated 4 years ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆152Updated 2 years ago
- Measuring Disentanglement: A Review of Metrics☆35Updated 5 years ago
- Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"☆380Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Updated 5 years ago
- PyTorch implementation of Glow☆543Updated 4 years ago
- Disentanglement library for PyTorch☆282Updated 3 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆90Updated 5 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Updated 4 years ago
- PyTorch implementation of Variational Diffusion Models.☆105Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆388Updated 3 years ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆769Updated last year
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆198Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆110Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆839Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆719Updated 3 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆558Updated 4 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆150Updated 6 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆153Updated 4 years ago
- ☆238Updated 6 years ago
- ☆328Updated 3 years ago
- PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"☆164Updated 2 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆84Updated 4 years ago