cianeastwood / qedrView external linksLinks
Quantitative evaluation of disentangled representations
☆63Mar 18, 2018Updated 7 years ago
Alternatives and similar repositories for qedr
Users that are interested in qedr are comparing it to the libraries listed below
Sorting:
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Apr 20, 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
- ☆79Apr 17, 2025Updated 10 months ago
- This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"☆15Feb 13, 2021Updated 5 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,420May 16, 2021Updated 4 years ago
- This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [li…☆23Oct 16, 2021Updated 4 years ago
- [NeurIPS 2022] disentanglement evaluation robust to model dimension variance.☆10Sep 21, 2022Updated 3 years ago
- Learning Deep Disentangled Embeddings with the F-Statistic Loss (NIPS 2018)☆10Oct 17, 2018Updated 7 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆283Jun 28, 2018Updated 7 years ago
- ☆11May 27, 2023Updated 2 years ago
- Pytorch implementation of β-VAE☆568Dec 29, 2020Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆352Aug 31, 2022Updated 3 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆45Feb 10, 2022Updated 4 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆526Jan 3, 2021Updated 5 years ago
- Disentanglement library for PyTorch☆282May 8, 2022Updated 3 years ago
- ☆90Jun 24, 2019Updated 6 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Sep 23, 2022Updated 3 years ago
- Machine Learning / FFMPEG NVEnc Docker builds☆17Sep 17, 2021Updated 4 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆154Mar 17, 2024Updated last year
- ☆15Jan 12, 2024Updated 2 years ago
- Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).☆16Oct 14, 2021Updated 4 years ago
- Implementation of "Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning" (AAAI 2024)☆17Dec 18, 2023Updated 2 years ago
- Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation☆19Jul 8, 2021Updated 4 years ago
- [NeurIPS 2022] code for "Visual Concepts Tokenization"☆23Oct 10, 2022Updated 3 years ago
- StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation☆324Nov 27, 2022Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆839Feb 2, 2023Updated 3 years ago
- My notes during the 2017 IIIT Hyderabad Summer Schools on Computer Vision and Machine Learning☆24Sep 28, 2017Updated 8 years ago
- Simulating Language Course☆24Apr 1, 2019Updated 6 years ago
- Replicating "Understanding disentangling in β-VAE"☆200Jun 2, 2018Updated 7 years ago
- Code listings, implementations, and translations of code in the "Computer Graphics And Art" magazine (1976-1978).☆62Oct 23, 2012Updated 13 years ago
- MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitfli…☆19May 24, 2018Updated 7 years ago
- This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial langua…☆22Dec 2, 2025Updated 2 months ago
- Code release for the ICRA 2020 paper "Topological Mapping for Manhattan-like Repetitive Environments"☆24Mar 24, 2023Updated 2 years ago
- PyTorch Implementation of InfoGAN☆328Nov 5, 2022Updated 3 years ago
- ☆26Jan 28, 2019Updated 7 years ago
- Alphazero on GPU thanks to CUDA.jl☆33Aug 30, 2021Updated 4 years ago
- This repo provides the code to replicate the experiments in the paper: Image Generation With Neural Cellular Automatas.☆28Nov 6, 2020Updated 5 years ago
- [NeurIPS 2021] Low-Rank Subspaces in GANs☆126Dec 24, 2022Updated 3 years ago
- Measuring compositionality in representation learning☆73May 5, 2019Updated 6 years ago