Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
☆73Nov 17, 2021Updated 4 years ago
Alternatives and similar repositories for slow_disentanglement
Users that are interested in slow_disentanglement are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆35Aug 30, 2021Updated 4 years ago
- ☆13Jul 19, 2022Updated 4 years ago
- CNN Neural System Identification Model☆31Feb 7, 2018Updated 8 years ago
- [ICML2023] Instant Soup Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. Ajay Jaiswal, Shiwei Liu, Ti…☆11Nov 28, 2023Updated 2 years ago
- Python package to download and use the SSB datasets☆11Aug 3, 2023Updated 3 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.
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Jan 12, 2022Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Dec 8, 2022Updated 3 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 6 years ago
- A PyTorch implementation of visual interaction networks☆12Jul 1, 2019Updated 7 years ago
- Robustness properties of Facebook's ResNeXt WSL models☆15Dec 7, 2019Updated 6 years ago
- Learn to build neural networks from scratch, simply. No autograd, no deep learning libraries - just numpy.☆10Aug 10, 2022Updated 4 years ago
- ☆19Jan 12, 2024Updated 2 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆160Mar 17, 2024Updated 2 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38May 16, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Adversarially Robust Neural Network on MNIST.☆64Feb 4, 2022Updated 4 years ago
- This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"☆15Feb 13, 2021Updated 5 years ago
- A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models…☆20Apr 9, 2024Updated 2 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 6 years ago
- Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".☆36Sep 7, 2021Updated 4 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆24Apr 24, 2021Updated 5 years ago
- Causal Inference☆11May 25, 2020Updated 6 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆62Jun 16, 2023Updated 3 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆41Sep 11, 2022Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Reference sparse coding implementations for efficient learning and inference.☆27Jul 9, 2025Updated last year
- Hierarchical Models for Learning Features from Images and Videos☆12Feb 7, 2023Updated 3 years ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆31Apr 15, 2023Updated 3 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆61Sep 21, 2022Updated 3 years ago
- Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Da…☆14Jun 28, 2023Updated 3 years ago
- [NeurIPS 2022] disentanglement evaluation robust to model dimension variance.☆10Sep 21, 2022Updated 3 years ago
- Disentanglement library for PyTorch☆283May 8, 2022Updated 4 years ago
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…☆77Feb 25, 2023Updated 3 years ago
- ☆24May 1, 2025Updated last year
- 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.
- This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [li…☆22Oct 16, 2021Updated 4 years ago
- [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…☆13Oct 7, 2022Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆35Sep 27, 2021Updated 4 years ago
- [NeurIPS 2024 Poster] Official Repo for Paper "Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Mod…☆17Jan 10, 2026Updated 7 months ago
- Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)☆13Oct 17, 2020Updated 5 years ago
- Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurI…☆94Apr 29, 2024Updated 2 years ago
- ☆17May 1, 2021Updated 5 years ago