A σ-VAE implementation in PyTorch
☆106May 9, 2026Updated 2 weeks 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 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Dec 8, 2022Updated 3 years ago
- An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence☆20Aug 27, 2025Updated 9 months ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆43Nov 18, 2020Updated 5 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,092Dec 6, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An unofficial PyTorch implementation of ICCV 2019 paper "Orientation-Aware Semantic Segmentation on Icosahedron Spheres"☆22Feb 13, 2020Updated 6 years ago
- 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
- ☆22Nov 18, 2025Updated 6 months ago
- ☆18Jan 3, 2022Updated 4 years ago
- Performs a principal component analysis (PCA) on a set of head-related transfer functions (HRTFs).☆14Apr 27, 2020Updated 6 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 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆28Jul 8, 2021Updated 4 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
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Sep 7, 2021Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆90Jul 24, 2020Updated 5 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Oct 3, 2022Updated 3 years ago
- pytorch CTC implementation for ASR. Use eesen's fst decoder framework☆10Feb 27, 2020Updated 6 years ago
- Python library for backtranslation (with Google Translate)☆12Jan 11, 2020Updated 6 years ago
- music generation with a classifying variational autoencoder (VAE) and LSTM☆28Mar 27, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Apr 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
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Dec 24, 2023Updated 2 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
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆640Jul 12, 2021Updated 4 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Jun 6, 2023Updated 2 years ago
- Analysis of Russian mass media articles about internet regulation with structural topic modeling☆11May 15, 2018Updated 8 years ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆453Apr 28, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Oct 18, 2021Updated 4 years ago
- Prescribed Generative Adversarial Networks☆142Aug 3, 2020Updated 5 years ago
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆65Sep 14, 2022Updated 3 years ago
- Disentanglement library for PyTorch☆282May 8, 2022Updated 4 years ago
- Train and visualise a latent variable model of moving objects.☆15Apr 28, 2020Updated 6 years ago
- Streamlit, but better.☆16Feb 5, 2024Updated 2 years ago
- Dynamical Movement Primitives in Python☆12Apr 23, 2017Updated 9 years ago