Mutual Information Neural Estimation in Pytorch
☆361Sep 28, 2024Updated last year
Alternatives and similar repositories for mine-pytorch
Users that are interested in mine-pytorch 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 pytorch implementation of MINE(Mutual Information Neural Estimation)☆349Mar 13, 2019Updated 7 years ago
- Mutual Information Neural Estimation (Pytorch)☆13Jun 29, 2020Updated 6 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Oct 31, 2018Updated 7 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆76Feb 12, 2020Updated 6 years ago
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆362May 10, 2024Updated 2 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.
- Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)☆20Jun 18, 2021Updated 5 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆401Feb 12, 2026Updated 6 months ago
- A Tensorflow implementation Mutual Information estimation methods☆50Mar 24, 2023Updated 3 years ago
- Mutual information estimators and benchmark☆63Sep 16, 2025Updated 10 months ago
- Pytorch implementation of Deep Variational Information Bottleneck☆213Mar 22, 2018Updated 8 years ago
- Official implementation of MINDE: Mutual Information Neural Diffusion Estimation☆24Apr 17, 2025Updated last year
- ☆157Apr 20, 2020Updated 6 years ago
- Mutual Information in Pytorch☆114Aug 23, 2023Updated 2 years ago
- Difference-of-Entropies (DoE) Estimator☆26Apr 13, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- explore DNNs via Infomration☆267Mar 10, 2020Updated 6 years ago
- Information Bottleneck in DNN with PyTorch