Alternatives and similar repositories for NeSyXIL

Users that are interested in NeSyXIL are comparing it to the libraries listed below

• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆80Updated 3 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆26Updated 5 years ago
• Faruk-Ahmed / predictive_group_invariance
  ☆34Updated 4 years ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 3 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 5 years ago
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆117Updated 4 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆59Updated 6 years ago
• shaohua0116 / MultiDigitMNIST
  Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
  ☆101Updated 4 years ago
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 3 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 4 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆56Updated 3 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 4 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆40Updated 4 years ago
• MadryLab / EditingClassifiers
  ☆95Updated 2 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• stelzner / supair
  Implementation of Sum-Product Attend-Infer-Repeat
  ☆31Updated 5 years ago
• addtt / attend-infer-repeat-pytorch
  Attend Infer Repeat (AIR) in PyTorch
  ☆21Updated last year
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• alextamkin / viewmaker
  ☆38Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 2 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago