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56 public repositories
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This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
Updated
Apr 22, 2024
Jupyter Notebook
Learning alternative disentangled representations using weak labels
Updated
Apr 8, 2024
Python
Single-Cell (Perturbation) Model Library
Pytorch implementation of Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE paper
Updated
Mar 8, 2024
Python
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Updated
Mar 4, 2024
Python
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Updated
Feb 23, 2024
Jupyter Notebook
Learning Face Recognition Unsupervisedly by Disentanglement and Self-Augmentation (ICRA 2020)
Dataset and model for disentangling chat on IRC
Updated
May 7, 2024
Python
Object-Centric Disentangled Mechanisms
Updated
Mar 19, 2024
Python
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Updated
Jun 12, 2023
Python
Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"
Updated
May 19, 2023
Python
Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]
Updated
Apr 26, 2023
Python
[TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.
Updated
Apr 24, 2023
Python
Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾
Updated
Mar 24, 2023
Jupyter Notebook
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
Updated
Mar 21, 2023
Python
Experiments for understanding disentanglement in VAE latent representations
Updated
Feb 2, 2023
Python
This is the code repository for {Empirical Study on Exploring the Impact of Controlling the Objective on Disentanglement Learning During Training}.
Updated
Jan 24, 2023
Jupyter Notebook
Official implementation of the paper "Learning Invariance Manifolds of Visual Sensory Neurons".
Updated
Dec 20, 2022
Jupyter Notebook
Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.
Updated
Nov 19, 2022
Python
training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
Updated
Oct 11, 2022
Python
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