Implementation of autoencoders in PyTorch
☆57Feb 4, 2018Updated 8 years ago
Alternatives and similar repositories for pytorch-autoencoders
Users that are interested in pytorch-autoencoders are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Convolutional Autoencoder with SetNet in PyTorch☆92Oct 4, 2022Updated 3 years ago
- An adversarial autoencoder implementation in pytorch☆87May 9, 2019Updated 7 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆54Apr 6, 2018Updated 8 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Jun 19, 2019Updated 6 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆28Feb 26, 2018Updated 8 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.
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- pytorch implementation of stacked denoising autoencoder☆20Oct 18, 2017Updated 8 years ago
- ☆10Aug 5, 2020Updated 5 years ago
- Image Reconstruction and Restoration of Cats and Dogs Dataset using PyTorch's Torch and Torchvision Libraries☆13Oct 2, 2020Updated 5 years ago
- This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).☆46Dec 7, 2018Updated 7 years ago
- Demo code for reconstructed images from fine-tuned autoencoders☆15Nov 2, 2020Updated 5 years ago
- Materials for Graph Models and Graph Networks☆11Jul 6, 2018Updated 7 years ago
- Zero-Shot Learning☆19Dec 9, 2019Updated 6 years ago
- Using NuPIC as part of my PhD work.☆12Sep 23, 2021Updated 4 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.
- Deep Feature Consistent Variational AutoEncoder (Pytorch)☆13May 18, 2017Updated 9 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆136Aug 27, 2023Updated 2 years ago
- ☆12Dec 9, 2020Updated 5 years ago
- PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)☆13Mar 20, 2022Updated 4 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 5 years ago
- Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.☆48Aug 2, 2018Updated 7 years ago
- ☆46Apr 21, 2025Updated last year
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆48Feb 18, 2019Updated 7 years ago
- Nvidia TensorRT implementation of AdderNet for edge deployment☆10Nov 19, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code to accompany the paper "Learning Grimaces By Watching TV" and FaceValue dataset☆12Aug 4, 2018Updated 7 years ago
- ☆13Sep 11, 2018Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆73Apr 9, 2019Updated 7 years ago
- Fixed old Kai Borre Matlab code to run in Octave and hence be callable by Python to work with RINEX data☆17Nov 22, 2021Updated 4 years ago
- Torch implementations of various types of autoencoders☆475Aug 28, 2017Updated 8 years ago
- Code for "Multi-scale Abstract Reasoning" paper☆12Oct 17, 2022Updated 3 years ago
- ☆12Apr 8, 2019Updated 7 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- Implementation of the paper on Embodiment Scaling Laws in Robot Locomotion (CoRL 2025)☆26Sep 23, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official repository for "Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning".☆13Jan 25, 2023Updated 3 years ago
- ☆11Jan 24, 2023Updated 3 years ago
- VQ-VAE implementation pytorch☆11Mar 15, 2023Updated 3 years ago
- Pytorch implementation of a Variational Autoencoder (VAE) that learns from the MNIST dataset and generates images of altered handwritten …☆20Jan 10, 2023Updated 3 years ago
- A Pytorch implementation of 'Progressive Neural Networks for Transfer Learning in Emotion Recognition'☆11Jul 31, 2018Updated 7 years ago
- BPR recommender system☆10Apr 14, 2018Updated 8 years ago
- An easy and efficient tool to build sequential recommendation system utilizing SASRec☆10Nov 1, 2023Updated 2 years ago