A σ-VAE implementation in PyTorch
☆106May 9, 2026Updated 2 months ago
Alternatives and similar repositories for sigma-vae-pytorch
Users that are interested in sigma-vae-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆30Jul 16, 2021Updated 5 years ago
- An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence☆20Aug 27, 2025Updated 10 months ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,093Dec 6, 2022Updated 3 years ago
- An unofficial PyTorch implementation of ICCV 2019 paper "Orientation-Aware Semantic Segmentation on Icosahedron Spheres"☆22Feb 13, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Jan 18, 2022Updated 4 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆15May 19, 2022Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆84May 1, 2020Updated 6 years ago
- Code for Improved Condtional VRNNs for Video Prediction☆39Aug 12, 2021Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Jul 17, 2021Updated 5 years ago
- [CVPR 2020] A generative model with latent factors that are independent and localized.☆12Mar 27, 2025Updated last year
- ☆43Sep 16, 2020Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆90Jul 24, 2020Updated 6 years ago
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Sep 7, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for "Inference Suboptimality in Variational Autoencoders"☆16Mar 17, 2020Updated 6 years ago
- Python library for backtranslation (with Google Translate)☆12Jan 11, 2020Updated 6 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Oct 3, 2022Updated 3 years ago
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Dec 24, 2023Updated 2 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Apr 27, 2020Updated 6 years ago
- pytorch CTC implementation for ASR. Use eesen's fst decoder framework☆10Feb 27, 2020Updated 6 years ago
- Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder☆160Feb 4, 2021Updated 5 years ago
- ☆16Feb 2, 2022Updated 4 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…☆41Mar 26, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆640Jul 12, 2021Updated 5 years ago
- Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"☆384Sep 10, 2022Updated 3 years ago
- Analysis of Russian mass media articles about internet regulation with structural topic modeling☆11May 15, 2018Updated 8 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Jun 6, 2023Updated 3 years ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆453Apr 28, 2023Updated 3 years ago
- music generation with a classifying variational autoencoder (VAE) and LSTM☆28Mar 27, 2019Updated 7 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆67Sep 14, 2022Updated 3 years ago
- Disentanglement library for PyTorch☆283May 8, 2022Updated 4 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆59May 16, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Streamlit, but better.☆16Feb 5, 2024Updated 2 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆57Apr 27, 2020Updated 6 years ago
- Pytorch Implementation of OpenAI's PixelCNN++☆348Apr 1, 2021Updated 5 years ago
- TD-VAE in PyTorch☆10May 28, 2019Updated 7 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆291Feb 1, 2021Updated 5 years ago
- Experiments for understanding disentanglement in VAE latent representations☆841Feb 2, 2023Updated 3 years ago
- Dynamical Movement Primitives in Python☆12Apr 23, 2017Updated 9 years ago