Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
☆37Mar 19, 2018Updated 8 years ago
Alternatives and similar repositories for Wasserstein-Auto-Encoders
Users that are interested in Wasserstein-Auto-Encoders are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 6 years ago
- Wasserstein Auto-Encoders☆512Jun 28, 2018Updated 8 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Feb 7, 2018Updated 8 years ago
- MNIST in the browser☆21Apr 27, 2020Updated 6 years ago
- Gaussian Processes for Sequential Data☆20Dec 12, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Apr 20, 2018Updated 8 years ago
- Conditional Random Fields implemented as Lasagne layer☆10Jul 22, 2016Updated 10 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆11May 22, 2020Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆299Aug 7, 2020Updated 6 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Jul 6, 2023Updated 3 years ago
- Code for the ECCV22 paper Demystifying Unsupervised Semantic Correspondence Estimation☆14Oct 18, 2022Updated 3 years ago
- Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow☆12Mar 28, 2019Updated 7 years ago
- Core code for the paper "A Generative Model For Electron Paths" (https://openreview.net/forum?id=r1x4BnCqKX).☆18Jun 13, 2019Updated 7 years ago
- ☆65Apr 15, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of the Sliced Wasserstein Autoencoders☆92Jun 6, 2018Updated 8 years ago
- The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on …☆10Apr 27, 2018Updated 8 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆303Dec 25, 2016Updated 9 years ago
- Real-time, interactive exploration of 3D image stacks☆13Nov 25, 2019Updated 6 years ago
- ☆11May 10, 2018Updated 8 years ago
- Codes for the "Noisy Activation Functions" paper.☆17Jan 5, 2017Updated 9 years ago
- Odds and Ends and Things I've implemented.☆78Jan 31, 2019Updated 7 years ago
- Analysis code for the research paper "Convolutional neural networks: a magic bullet for gravitational-wave detection?"☆38Jul 30, 2024Updated 2 years ago
- Blind Justice Code for the paper "Blind Justice: Fairness with Encrypted Sensitive Attributes", ICML 2018☆14Mar 20, 2019Updated 7 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.
- code release for the NIPS 2016 paper☆28Oct 21, 2016Updated 9 years ago
- Models built with TensorFlow☆26Dec 5, 2018Updated 7 years ago
- Collaborative Deep Learning (CDL)☆58Jun 25, 2018Updated 8 years ago
- Bounding causal effects in general (continuous, non-additive) instrumental variable models.☆14Jul 6, 2023Updated 3 years ago
- Asynchronous Advantage Actor Critic☆20Aug 15, 2016Updated 10 years ago
- ☆22Jul 4, 2017Updated 9 years ago
- Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow☆11Nov 27, 2019Updated 6 years ago
- ConvWave Searching for Gravitational Waves with Fully Convolutional Neural Nets☆14May 22, 2019Updated 7 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated 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.
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 5 years ago
- An offline evaluation framework for sequence-based recommender systems☆13May 17, 2019Updated 7 years ago
- Code to build VAE models that are jointly conditioned.☆38Dec 17, 2017Updated 8 years ago
- First-order knowledge compilation for lifted probabilistic inference☆11Jun 14, 2017Updated 9 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- implementation of semi-supervised VAE using pytorch☆11Nov 5, 2019Updated 6 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 6 years ago