An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848
☆26Apr 20, 2018Updated 8 years ago
Alternatives and similar repositories for DIP-VAE
Users that are interested in DIP-VAE 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 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
- A TensorFlow Label Propagation library☆13Apr 7, 2018Updated 8 years ago
- Models for the Collaborative Drawing (CoDraw) task☆13Jan 15, 2019Updated 7 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Mar 19, 2018Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."☆25Jan 21, 2019Updated 7 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆159Mar 17, 2024Updated 2 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆284Jun 28, 2018Updated 7 years ago
- Unsupervised Learning of Transferable Relational Graphs☆69Mar 20, 2019Updated 7 years ago
- Gaussian Processes for Sequential Data☆20Dec 12, 2020Updated 5 years ago
- Sparse Circuits on the GPU (ICLR2025)☆23May 14, 2026Updated 2 weeks ago
- python notebooks for revising machine learning basics