A σ-VAE implementation in PyTorch
☆104Nov 9, 2021Updated 4 years 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
Sorting:
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆29Jul 16, 2021Updated 4 years 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
- An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence☆20Aug 27, 2025Updated 6 months ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Dec 8, 2022Updated 3 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Jul 17, 2021Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83May 1, 2020Updated 5 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Oct 3, 2022Updated 3 years ago
- [CVPR 2020] A generative model with latent factors that are independent and localized.☆12Mar 27, 2025Updated 11 months 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 4 years ago
- Code for Improved Condtional VRNNs for Video Prediction☆38Aug 12, 2021Updated 4 years ago
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Oct 18, 2021Updated 4 years ago
- ☆44Sep 16, 2020Updated 5 years ago
- Analysis of Russian mass media articles about internet regulation with structural topic modeling☆11May 15, 2018Updated 7 years ago
- DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code☆10Mar 8, 2022Updated 3 years ago
- Code for the paper☆11May 24, 2024Updated last year
- DTLC-GAN Tensorflow☆12Aug 29, 2018Updated 7 years ago
- Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)☆29Jul 8, 2021Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Apr 27, 2020Updated 5 years ago
- The official PyTorch Implementation of the Paper "Adversarial Visual Robustness by Causal Intervention"☆18Oct 6, 2021Updated 4 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Jun 6, 2023Updated 2 years ago
- Python library for backtranslation (with Google Translate)☆12Jan 11, 2020Updated 6 years ago
- This repo contains the baseline model recipes and pre-trained model for GramVanni hindi ASR challenge☆15Mar 26, 2022Updated 3 years ago
- Resources for: Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup (ACL SRW 2020)☆11Sep 9, 2021Updated 4 years ago
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆12Sep 11, 2025Updated 5 months ago
- One Diffusion model implementation base on LibTorch☆13Mar 22, 2023Updated 2 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Jul 12, 2021Updated 4 years ago
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Dec 24, 2023Updated 2 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
- PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines☆10Apr 3, 2020Updated 5 years ago
- ☆10Jan 18, 2024Updated 2 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Oct 9, 2022Updated 3 years ago
- Prescribed Generative Adversarial Networks☆141Aug 3, 2020Updated 5 years ago
- ☆13May 21, 2023Updated 2 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
- Train and visualise a latent variable model of moving objects.☆16Apr 28, 2020Updated 5 years ago
- Jax implementation of "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆15May 10, 2024Updated last year
- Dynamical Movement Primitives in Python☆12Apr 23, 2017Updated 8 years ago
- ☆10Feb 12, 2020Updated 6 years ago