A Pytorch Implementation of the Beta-VAE
☆45Aug 12, 2019Updated 6 years ago
Alternatives and similar repositories for beta-vae
Users that are interested in beta-vae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆20Jan 27, 2018Updated 8 years ago
- Experiments for understanding disentanglement in VAE latent representations☆841Feb 2, 2023Updated 3 years ago
- This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…☆32Aug 14, 2018Updated 7 years ago
- Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018☆11Oct 10, 2018Updated 7 years ago
- Mesoscale activity ephys ingest schema☆11Jul 18, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Sep 19, 2017Updated 8 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- package the image recognition model into a dll interface，and use python to call the dll for test.☆13May 26, 2020Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆44Aug 21, 2019Updated 6 years ago
- ☆16Jul 7, 2023Updated 2 years ago
- This is a implementation of Orthogonal Matching Pursuit algorithm for sparse approximation☆15Dec 25, 2019Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆354Aug 31, 2022Updated 3 years ago
- Official PyTorch implementation for "Understanding Instance-based Interpretability of Variational Auto-Encoders."☆13Oct 21, 2021Updated 4 years ago
- Design and implementation of FAIR Data Cube☆11Jun 2, 2025Updated 10 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- GenoML (genoml2) is an open source Python package. It is an automated machine learning (autoML) platform for genomics data☆33Jun 17, 2025Updated 9 months ago
- ☆27Oct 21, 2022Updated 3 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- ☆14Jan 26, 2021Updated 5 years ago
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 6 years ago
- Disentanglement library for PyTorch☆282May 8, 2022Updated 3 years ago
- Disentangling Factors of Variation by Mixing Them codes☆16Mar 13, 2019Updated 7 years ago
- A PyTorch implementation of a YOLO v2 Object Detector☆17Mar 24, 2018Updated 8 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Mar 20, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Jan 18, 2022Updated 4 years ago
- ☆20Feb 13, 2020Updated 6 years ago
- ☆13Dec 3, 2021Updated 4 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Mar 18, 2022Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Sep 2, 2024Updated last year
- ☆11Nov 13, 2020Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆86May 9, 2019Updated 6 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 3 years ago
- ☆12Feb 4, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆22Aug 17, 2023Updated 2 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11May 14, 2019Updated 6 years ago
- ☆90Jun 24, 2019Updated 6 years ago
- 🔨whack a mole with your nose. built with p5.js & ml5.js.☆13Oct 13, 2020Updated 5 years ago
- Caffe/Neon prototxt training file for our Neurocomputing2017 work: Fuzzy Quantitative Deep Compression Network☆12May 30, 2018Updated 7 years ago
- This is the repository for Learning to Generate Piano Music With Sustain Pedals☆12Nov 23, 2023Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Oct 19, 2022Updated 3 years ago