Alternatives and similar repositories for LTN_pytorch

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

• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• AntreasAntoniou / FewShotContinualLearningDataProvider
  The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".
  ☆16Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• sungyubkim / DVIB
  A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
  ☆9Updated 6 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• ema-marconato / NeSy-CL
  Codebase for Neuro-Symbolic Continual Learning.
  ☆22Updated last year
• AntreasAntoniou / FewShotContinualLearning
  The original code for the paper "Benchmarks for Continual Few-Shot Learning".
  ☆35Updated 4 years ago
• google-deepmind / ssl_hsic
  ☆37Updated 10 months ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated last month
• otiliastr / coarse-to-fine-curriculum
  Coarse-to-Fine Curriculum Learning
  ☆20Updated 5 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 4 years ago
• universome / class-norm
  Class Normalization for Continual Zero-Shot Learning
  ☆34Updated 4 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated 2 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• wangwllu / provably_robust_metric_learning
  A metric learning method to learn a provably robust Mahalanobis distance
  ☆10Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• aniketde / DomainGeneralizationMarginal
  ☆15Updated 7 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• zhoumu53 / few_shot_learning
  Awesome papers in few-shot learning/one-shot learning.
  ☆30Updated 6 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 3 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆50Updated last year
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• wutong8023 / AAAI-CML
  ☆17Updated 4 years ago
• smonsays / contrastive-meta-learning
  Code accompanying the paper "A contrastive rule for meta-learning"
  ☆12Updated 7 months ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago