Pytorch Adversarial Auto Encoder (AAE)
☆87Feb 24, 2019Updated 7 years ago
Alternatives and similar repositories for pytorch_aae
Users that are interested in pytorch_aae are comparing it to the libraries listed below
Sorting:
- ☆199May 18, 2017Updated 8 years ago
- An adversarial autoencoder implementation in pytorch☆86May 9, 2019Updated 6 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Jul 19, 2022Updated 3 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆28Feb 26, 2018Updated 8 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- A Chainer implementation of 3D Generative Adversarial Network.☆26Oct 23, 2017Updated 8 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Jul 18, 2020Updated 5 years ago
- Humble microlibrary / command line tool for summarizing data within Weights and Biases across runs.☆14Aug 22, 2019Updated 6 years ago
- Adversarial_Autoencoders手写数字识别, pytorch版本☆14Nov 3, 2021Updated 4 years ago
- A wizard's guide to Adversarial Autoencoders☆433Mar 9, 2026Updated 2 weeks ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 5 years ago
- This is the code of experiments in paper Cross-Domain Adversarial Auto-Encoder(https://arxiv.org/abs/1804.06078)☆12Apr 18, 2018Updated 7 years ago
- Adversarial AutoEncoder implemented with MXNet☆25May 18, 2018Updated 7 years ago
- ☆28Nov 28, 2021Updated 4 years ago
- ☆16Feb 12, 2020Updated 6 years ago
- Variational auto encoder in pytorch☆56Mar 21, 2019Updated 7 years ago
- Code for an ECCV2014 paper☆12Feb 10, 2015Updated 11 years ago
- Unsupervised Deep Embedding for Clustering Analysis (DEC)☆27Oct 11, 2020Updated 5 years ago
- Code for *Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE*☆24Oct 15, 2019Updated 6 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆20Jan 27, 2018Updated 8 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆47Apr 17, 2020Updated 5 years ago
- ☆17Sep 20, 2020Updated 5 years ago
- Domain Adaptation and Adapters☆16Feb 28, 2023Updated 3 years ago
- Lifelong Variational Autoencoder☆15Dec 6, 2017Updated 8 years ago
- ☆12Feb 14, 2020Updated 6 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Apr 1, 2019Updated 6 years ago
- A Python tool for parsing and analyzing electron density maps data available from the worldwide Protein Data Bank☆12Sep 28, 2023Updated 2 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆192Dec 18, 2017Updated 8 years ago
- Embedding module for VASP and tools for its use.☆10Feb 20, 2025Updated last year
- Keras Implementation of adverserial autoencoder (AAE)☆55Jan 23, 2019Updated 7 years ago
- Get reproducible pytorch deep learning experiments and monitor your network's internals with a few lines of code.☆14Mar 25, 2023Updated 2 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆283Jun 28, 2018Updated 7 years ago
- Landing a Spaceship using Upside-Down Reinforcement Learning (a.k.a ⅂ꓤ)☆13Oct 25, 2023Updated 2 years ago
- Tutorial on normalizing flows.☆299Jan 17, 2018Updated 8 years ago
- Library for causal and probabilistic inference in Julia☆12Feb 4, 2025Updated last year
- PyTorch implementation of "Towards k-means-friendly spaces: Simultaneous deep learning and clustering," Bo Yang et al., 2017.☆17Jan 15, 2021Updated 5 years ago
- Quasi-Periodic WaveNet Pytorch implementation☆13Mar 27, 2021Updated 4 years ago
- Deep Clustering Learning☆12Aug 8, 2019Updated 6 years ago
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Oct 18, 2021Updated 4 years ago