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:
- A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )☆16Apr 24, 2018Updated 8 years ago
- Wasserstein Auto-Encoders☆512Jun 28, 2018Updated 8 years ago
- MNIST in the browser☆21Apr 27, 2020Updated 6 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 6 years ago
- Converts Quora's new NLU dataset to SNLI txt/jsonl format, plus test/dev split, tokenization.☆14Jan 27, 2017Updated 9 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
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Mar 22, 2024Updated 2 years ago
- ☆65Apr 15, 2019Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Jun 6, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Information Constraints on Auto-Encoding Variational Bayes☆11May 24, 2018Updated 8 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆49Jul 6, 2023Updated 3 years ago
- Odds and Ends and Things I've implemented.☆78Jan 31, 2019Updated 7 years ago
- Question Dependent Recurrent Entity Network☆13Sep 21, 2017Updated 8 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Aug 11, 2016Updated 10 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
- code release for the NIPS 2016 paper☆28Oct 21, 2016Updated 9 years ago
- Models built with TensorFlow☆26Dec 5, 2018Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Stan keywords and functions; used to create editor language modes and syntax highlighters☆12Sep 6, 2023Updated 2 years ago
- Asynchronous Advantage Actor Critic☆20Aug 15, 2016Updated 10 years ago
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 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
- ☆23Sep 4, 2016Updated 9 years ago
- An offline evaluation framework for sequence-based recommender systems☆13May 17, 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.
- 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
- ☆10Feb 10, 2022Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Nov 12, 2020Updated 5 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 6 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Nov 21, 2018Updated 7 years ago