explore DNNs via Infomration
☆267Mar 10, 2020Updated 6 years ago
Alternatives and similar repositories for IDNNs
Users that are interested in IDNNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Jun 19, 2017Updated 8 years ago
- Recreation of figures from 'Opening the Black Box of Deep Neural Networks via Information'☆21Nov 30, 2017Updated 8 years ago
- demonstration of the information bottleneck theory for deep learning☆69Oct 21, 2017Updated 8 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Jul 2, 2020Updated 5 years ago
- Information Bottleneck in DNN with PyTorch☆15Jul 6, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"☆10Mar 22, 2023Updated 3 years ago
- Mutual Information Neural Estimation in Pytorch☆361Sep 28, 2024Updated last year
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆397Feb 12, 2026Updated 4 months ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Aug 3, 2022Updated 3 years ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆12Nov 1, 2022Updated 3 years ago
- Non-parametric Entropy Estimation Toolbox☆431Oct 5, 2022Updated 3 years ago
- ☆96Jan 25, 2022Updated 4 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Sep 1, 2018Updated 7 years ago
- ☆218May 23, 2018Updated 8 years ago
- 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.
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Jul 25, 2024Updated last year
- Scaled MMD GAN☆36Oct 30, 2019Updated 6 years ago
- Tensor Switching Networks☆12Nov 2, 2017Updated 8 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- Adversarial Non-linear Independent Component Analysis☆50Oct 17, 2017Updated 8 years ago
- Deep Structured Energy Based Model☆11Jan 6, 2018Updated 8 years ago
- Sparse Variational Dropout, ICML 2017☆313May 20, 2020Updated 6 years ago
- Implementation of Information Dropout☆39Jul 12, 2017Updated 8 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Feb 13, 2022Updated 4 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆31Mar 19, 2026Updated 2 months ago
- Code for Towards Visual Ego-Motion Learning in Robots☆12May 30, 2017Updated 9 years ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Feb 13, 2022Updated 4 years ago
- Code for visualizing the loss landscape of neural nets☆3,183Apr 5, 2022Updated 4 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Mar 13, 2019Updated 7 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆12Oct 20, 2020Updated 5 years ago
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Sep 20, 2017Updated 8 years ago
- Information Constraints on Auto-Encoding Variational Bayes☆11May 24, 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.
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- Deep Learning without Weight Transport☆36Oct 27, 2019Updated 6 years ago
- ☆29Jan 7, 2018Updated 8 years ago
- ☆15Nov 15, 2017Updated 8 years ago
- Deep Weighted Averaging Classifiers☆22Feb 4, 2019Updated 7 years ago
- WICA: nonlinear weighted ICA☆12Oct 3, 2023Updated 2 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆12Oct 12, 2020Updated 5 years ago