gomb0c

Pinned Repositories

Beta-VAE
Pytorch implementation of β-VAE
Language:Python0 0 00
CommutativeLieGroupVAE-Pytorch
Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
Language:Python00
Compositional-Generalization
[NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Language:Python00
disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
Language:Jupyter Notebook00
FALCON-Release
PyTorch implementation of FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Language:Python00
IODINE
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
Language:Python00
IODINE-v1
Implementation of IODINE model
Language:Python00
KagNet
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Language:Python00
n2nmn
Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017
Language:SourcePawn0 0 00
nmn2
Neural module networks
Language:Python00

gomb0c's Repositories

gomb0c/Beta-VAE
Pytorch implementation of β-VAE
Language:Python0 0 00
gomb0c/CommutativeLieGroupVAE-Pytorch
Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
Language:Python00
gomb0c/Compositional-Generalization
[NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Language:Python00
gomb0c/disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
Language:Jupyter Notebook00
gomb0c/FALCON-Release
PyTorch implementation of FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Language:Python00
gomb0c/IODINE
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
Language:Python00
gomb0c/IODINE-v1
Implementation of IODINE model
Language:Python00
gomb0c/KagNet
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Language:Python00
gomb0c/n2nmn
Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017
Language:SourcePawn0 0 00
gomb0c/nmn2
Neural module networks
Language:Python00
gomb0c/ns-vqa
Neural-symbolic visual question answering
gomb0c/NSCL-PyTorch-Release
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
gomb0c/qagnn
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
Language:Python0 0
gomb0c/slow_disentanglement
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Language:Jupyter Notebook
gomb0c/VCML
PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019
gomb0c/VCT
[NeurIPS 2022] code for "Visual Concepts Tokenization"
Language:Python
gomb0c/ViRel
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
Language:Python0 0