This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
☆159Mar 17, 2024Updated 2 years ago
Alternatives and similar repositories for 3d-shapes
Users that are interested in 3d-shapes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dataset to assess the disentanglement properties of unsupervised learning methods☆538Jan 3, 2021Updated 5 years ago
- ☆81Apr 17, 2025Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆284Jun 28, 2018Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Apr 20, 2018Updated 8 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,434May 16, 2021Updated 5 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.
- [NeurIPS 2022] disentanglement evaluation robust to model dimension variance.☆10Sep 21, 2022Updated 3 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Nov 17, 2021Updated 4 years ago
- Implementation of IODINE model☆10Jun 7, 2019Updated 7 years ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆89Dec 3, 2022Updated 3 years ago
- Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018☆11Oct 10, 2018Updated 7 years ago
- [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…☆13Oct 7, 2022Updated 3 years ago
- A implementation of FactorVAE from the paper Disentangling by Factorising, Kim & Mnih 2018 (https://arxiv.org/pdf/1802.05983.pdf )☆16Apr 24, 2018Updated 8 years ago
- Quantitative evaluation of disentangled representations☆63Mar 18, 2018Updated 8 years ago
- Multi-object image datasets with ground-truth segmentation masks and generative factors.☆288Mar 3, 2026Updated 3 months 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.
- Variational Autoencoder with Spatial Broadcast Decoder☆35Jul 12, 2019Updated 6 years ago
- Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…☆12Mar 8, 2019Updated 7 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆34Sep 23, 2022Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆355Aug 31, 2022Updated 3 years ago
- Entity Abstraction in Visual Model-Based Reinforcement Learning☆57Jan 1, 2021Updated 5 years ago
- Pytorch implementation of β-VAE☆572Dec 29, 2020Updated 5 years ago
- Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"☆37Mar 9, 2024Updated 2 years ago
- Systematic generalization test for CLEVR☆15Mar 11, 2020Updated 6 years ago
- ☆28Jan 28, 2019Updated 7 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.
- Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion☆18Feb 24, 2019Updated 7 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Oct 2, 2018Updated 7 years ago
- Python wrapper to small NORB dataset☆50Dec 8, 2022Updated 3 years ago
- ☆16Apr 9, 2026Updated 2 months ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆19Feb 27, 2023Updated 3 years ago
- Implementing Visual Saliency Models☆13Jan 10, 2018Updated 8 years ago
- On the pitfalls of measuring emergent communication☆34Mar 12, 2019Updated 7 years ago
- The code for performing MTL on object recognition with neural data☆16Nov 1, 2021Updated 4 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆46Nov 22, 2022Updated 3 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.
- This is Region Proposal Network training example using VGG16 backbone with Pytorch☆11Feb 21, 2023Updated 3 years ago
- [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models☆76Oct 20, 2023Updated 2 years ago
- EPIC-KITCHENS-55 dataset python library☆31Jun 21, 2022Updated 3 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Oct 29, 2017Updated 8 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- [NeurIPS 2024 Spotlight] code for "Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement"☆20Jan 26, 2025Updated last year
- Original implementation of Spatially Invariant Attend, Infer, Repeat (SPAIR) in TensorFlow.☆51Jun 18, 2020Updated 5 years ago