A PyTorch library for two-sample tests
☆245Nov 12, 2025Updated 11 months ago
Alternatives and similar repositories for torch-two-sample
Users that are interested in torch-two-sample are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning kernels to maximize the power of MMD tests☆210Jan 11, 2018Updated 8 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆203Aug 8, 2023Updated 3 years ago
- ☆24Mar 21, 2017Updated 9 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 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.
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆122Sep 1, 2018Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Aug 22, 2018Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64May 13, 2018Updated 8 years ago
- PyTorch implementations of algorithms for density estimation☆589May 13, 2021Updated 5 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆487Feb 12, 2022Updated 4 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆74Jan 22, 2022Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Jun 30, 2020Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆57Jun 21, 2021Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Some example scripts on pytorch☆196Oct 28, 2021Updated 5 years ago
- ☆182Jul 5, 2019Updated 7 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,931Oct 2, 2026Updated 3 weeks ago
- Improving MMD-GAN training with repulsive loss function☆90Nov 29, 2022Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893May 12, 2024Updated 2 years ago
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆541Jan 3, 2021Updated 5 years ago
- ☆22May 16, 2022Updated 4 years ago
- Pytorch implementation of MaxPoolingLoss.☆177Jun 9, 2018Updated 8 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.
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆15Jul 25, 2023Updated 3 years ago
- torch code to decode (and almost encode) latents from art-DCGAN's Portrait GAN☆38Nov 6, 2018Updated 7 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Aug 12, 2020Updated 6 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆596Dec 8, 2018Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Mar 10, 2018Updated 8 years ago
- ☆18Dec 31, 2018Updated 7 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Totally Versatile Miscellanea for Pytorch☆473Mar 20, 2022Updated 4 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆65May 14, 2019Updated 7 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.
- ☆54Dec 19, 2018Updated 7 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 8 years ago
- Implementations of ideas from recent papers☆390Dec 22, 2020Updated 5 years ago
- A simple shellscript for splitting the PDF of a paper into the main body and an appendix.☆18Jun 1, 2020Updated 6 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆321Aug 4, 2022Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- Code for Neural Spline Flows paper☆296Oct 19, 2025Updated last year