=^ o u o ^='s repositories
Beta-VAE
Pytorch implementation of β-VAE
CommutativeLieGroupVAE-Pytorch
Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
Compositional-Generalization
[NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
FALCON-Release
PyTorch implementation of FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
IODINE
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
IODINE-v1
Implementation of IODINE model
KagNet
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
n2nmn
Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017
nmn2
Neural module networks
ns-vqa
Neural-symbolic visual question answering
NSCL-PyTorch-Release
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
qagnn
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
slow_disentanglement
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
VCML
PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019
VCT
[NeurIPS 2022] code for "Visual Concepts Tokenization"
ViRel
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy