A brief tutorial on the Wasserstein auto-encoder
☆87Dec 13, 2018Updated 7 years ago
Alternatives and similar repositories for wasserstein-auto-encoder
Users that are interested in wasserstein-auto-encoder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 5 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.☆19Nov 5, 2019Updated 6 years ago
- An unofficial PyTorch implementation of "A Sliced Wasserstein Loss for Neural Texture Synthesis" paper [CVPR 2021].☆14Nov 10, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Dec 8, 2022Updated 3 years ago
- A tensorflow implementation of the Sinkhorn Distance calculation☆27Apr 28, 2019Updated 7 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 6 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 years ago
- Implement DeViSE: A Deep Visual-Semantic Embedding Model☆18Jan 15, 2018Updated 8 years ago
- Learning generative models with Sinkhorn Loss☆31Nov 9, 2018Updated 7 years ago
- Scripts for data and figure generation in SAVER paper☆18Jan 5, 2021Updated 5 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.
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 8 years ago
- ☆14Jul 27, 2021Updated 4 years ago
- ☆18Jun 13, 2023Updated 2 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆58Nov 3, 2020Updated 5 years ago
- ☆22May 16, 2022Updated 4 years ago
- Optimal transport transforms☆23Jul 10, 2018Updated 7 years ago
- Featurized Density Ratio Estimation☆20Jul 11, 2021Updated 4 years ago
- Row is a command line tool that helps you manage workflows on HPC resources.☆16May 18, 2026Updated last week
- Code accompanying our paper at AISTATS 2020☆21Jan 12, 2021Updated 5 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.
- Benchmark AFLOW Data Sets for Machine Learning doi.org/10.1007/s40192-020-00174-4☆11Aug 29, 2020Updated 5 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- Repository for material from the 2020 MC/MD Summer Workshop☆14Jul 12, 2024Updated last year
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 5 years ago
- This repo contains the codes to run solvation free energy prediction.☆12May 1, 2022Updated 4 years ago
- ☆26Jul 22, 2023Updated 2 years ago
- OpenMM plugin to interface with XTB☆20Nov 5, 2025Updated 6 months ago
- Domain randomization library in Python for object detection and classification using Blender.☆15Sep 20, 2018Updated 7 years ago
- Code for Sliced Gromov-Wasserstein☆70Dec 2, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11Jul 1, 2021Updated 4 years ago
- Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning☆24Dec 15, 2023Updated 2 years ago
- Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data☆13Apr 22, 2021Updated 5 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 4 years ago
- Code for Online Graph Dictionary Learning☆18Mar 1, 2022Updated 4 years ago
- QM-based enzyme model generation and validation.☆16Updated this week
- A Python implementation of Monge optimal transportation☆50Oct 2, 2023Updated 2 years ago