Pytorch implementation of Deep Variational Information Bottleneck
☆213Mar 22, 2018Updated 8 years ago
Alternatives and similar repositories for VIB-pytorch
Users that are interested in VIB-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:
- ☆96Jan 25, 2022Updated 4 years ago
- Theory and PyTorch implementation of Deep Variational Information Bottleneck☆35Jul 17, 2020Updated 6 years ago
- Implementation of Multi-View Information Bottleneck☆141May 27, 2020Updated 6 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Aug 3, 2022Updated 4 years ago
- an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)☆33Apr 26, 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.
- Pytorch Implementation of the Nonlinear Information Bottleneck☆42Jul 25, 2024Updated 2 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Jul 2, 2020Updated 6 years ago
- Deep Variational Information Bottleneck (DVIB) in PyTorch.☆10Apr 25, 2020Updated 6 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆402Feb 12, 2026Updated 6 months ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆349Mar 13, 2019Updated 7 years ago
- Variational Information Bottleneck☆16Nov 26, 2018Updated 7 years ago
- ☆157Apr 20, 2020Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Sep 1, 2018Updated 8 years ago
- demonstration of the information bottleneck theory for deep learning☆69Oct 21, 2017Updated 8 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.
- Implementation of Information Dropout☆40Jul 12, 2017Updated 9 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆44May 10, 2021Updated 5 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆15Nov 7, 2017Updated 8 years ago
- Tensorflow implementation of deep variational information bottleneck☆24Jun 23, 2022Updated 4 years ago
- Mutual Information Neural Estimation in Pytorch☆362Sep 28, 2024Updated last year
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆810Apr 25, 2019Updated 7 years ago
- Information Bottlenecks for Attribution☆84Nov 10, 2022Updated 3 years ago
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) in IC…☆12May 23, 2024Updated 2 years ago
- About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.☆10Apr 30, 2024Updated 2 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.
- Papers, codes, datasets, researchers on information bottleneck☆65Aug 6, 2024Updated 2 years ago
- Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.☆15Apr 30, 2024Updated 2 years ago
- Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]☆15May 1, 2024Updated 2 years ago
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49May 11, 2022Updated 4 years ago
- Official repo for Discriminator Guidance.☆16Apr 30, 2024Updated 2 years ago
- Code for Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction☆24Feb 4, 2025Updated last year
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27May 1, 2024Updated 2 years ago
- Estimators for Information Theoretic Functionals using Influence Functions☆11Apr 17, 2016Updated 10 years ago
- Information Bottleneck in DNN with PyTorch☆15Jul 6, 2023Updated 3 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.
- Code for "Robustness May Be at Odds with Accuracy"☆90Mar 24, 2023Updated 3 years ago
- ☆20Jun 21, 2019Updated 7 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆287Jun 28, 2018Updated 8 years ago
- ☆21Jun 4, 2024Updated 2 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆18May 27, 2019Updated 7 years ago
- Deep Learning & Information Bottleneck☆64Jun 30, 2023Updated 3 years ago
- ☆26Oct 26, 2020Updated 5 years ago