This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.
☆32Aug 14, 2018Updated 7 years ago
Alternatives and similar repositories for disentangling-factors-of-variation-using-adversarial-training
Users that are interested in disentangling-factors-of-variation-using-adversarial-training are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆73Sep 13, 2018Updated 7 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
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Feb 27, 2020Updated 6 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 7 years ago
- ☆16Apr 11, 2026Updated 2 months 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.
- A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"☆10Sep 4, 2019Updated 6 years ago
- Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)☆31Nov 5, 2019Updated 6 years ago
- ☆14Oct 3, 2022Updated 3 years ago
- ACM-MM2019☆28Oct 10, 2019Updated 6 years ago
- Speechflow for emotion recognition related information decomposition☆10Jul 27, 2021Updated 4 years ago
- A Pytorch Implementation of the Beta-VAE☆45Aug 12, 2019Updated 6 years ago
- ☆15Oct 9, 2022Updated 3 years ago
- Official PyTorch implementation for "Understanding Instance-based Interpretability of Variational Auto-Encoders."☆13Oct 21, 2021Updated 4 years ago
- Disentanglement library for PyTorch☆283May 8, 2022Updated 4 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.
- An Automatic real-time Optical Inspection System for classifying and detecting defects in steel surfaces.☆11Jan 29, 2021Updated 5 years ago
- Python wrapper to small NORB dataset☆50Dec 8, 2022Updated 3 years ago
- PyTorch implementation of "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, …☆15Feb 28, 2020Updated 6 years ago
- Feature-Wise Transformations☆22Jul 10, 2018Updated 7 years ago
- Implement Categorical Variational autoencoder using Pytorch☆15Apr 25, 2018Updated 8 years ago
- ☆17Oct 14, 2021Updated 4 years ago
- Disentangling Factors of Variation by Mixing Them codes☆16Mar 13, 2019Updated 7 years ago
- his code is a pytorch version for CycleFlow model in "CycleFlow: Purify Information Factors by Cycle Loss"☆15Jan 14, 2022Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Mar 17, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Fast Gradient Sign Method and Iterative Least-Likely Class, using LeNet and DenseNet in PyTorch☆10Nov 18, 2019Updated 6 years ago
- ☆13Jun 3, 2023Updated 3 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆14May 5, 2026Updated last month
- ☆28Sep 9, 2021Updated 4 years ago
- Model implementation and trained network for "A Two-Step Disentanglement Method" by Naama Hadad, Lior Wolf and Moni Shahar☆21Mar 21, 2018Updated 8 years ago
- Improving the Generalization of Adversarial Training with Domain Adaptation☆33Feb 25, 2019Updated 7 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆58Oct 3, 2023Updated 2 years ago
- Official Implementation of Knowledge Flow Prompting☆35Oct 20, 2025Updated 8 months ago
- Experiments for understanding disentanglement in VAE latent representations☆840Feb 2, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pytorch implementation of β-VAE☆572Dec 29, 2020Updated 5 years ago
- A curated list of research papers related to learning disentangled representations☆467Jun 6, 2019Updated 7 years ago
- ☆14Sep 19, 2017Updated 8 years ago
- ☆10Oct 12, 2021Updated 4 years ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆23Oct 9, 2021Updated 4 years ago
- A pytorch implementation of "FiNet: Compatible and Diverse Fashion Image Inpainting"☆14Sep 4, 2020Updated 5 years ago
- Exercises for FastAI v2☆19Jan 11, 2021Updated 5 years ago