Alternatives and similar repositories for dac

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

• OpenXAIProject / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆14Updated 6 years ago
• OpenXAIProject / LRP_for_LSTM_Korean_dataset
  LRP for LSTM using Korean dataset(NSCM)
  ☆19Updated 5 years ago
• OpenXAIProject / Factors-Decomposer-Entangler-Network
  Tensorflow implementation of "Plug-in Factorization for Latent Representation Disentanglement"
  ☆12Updated 4 years ago
• OpenXAIProject / Subsampling_aliasing_artifact_eliminator
  A MR image reconstruction method using multilayer perceptron
  ☆14Updated 6 years ago
• OpenXAIProject / SHAP-Tutorial
  Model Agnostic Explanations
  ☆18Updated 6 years ago
• OpenXAIProject / explainable_information_retrieval
  ☆14Updated 5 years ago
• OpenXAIProject / Explaining_Decision_of_Time_Series_Data
  ☆13Updated 5 years ago
• OpenXAIProject / MRI_based_alzheimer-s_diagnostic_model
  ☆12Updated 5 years ago
• OpenXAIProject / mc2-net
  Tensorflow implementation of "MC2-Net: Motion Correction Network for Multi-Contrast Brain MRI"
  ☆11Updated 5 years ago
• OpenXAIProject / NeuralPipeline_DSTC8
  ☆11Updated 5 years ago
• OpenXAIProject / stable-baselines-tf2
  Explainable & Easy-to-debug Deep Reinforcement Learning Framework
  ☆16Updated 5 years ago
• OpenXAIProject / Neural-Conversation-Models-Response-Evaluation
  Neural Conversation Models
  ☆10Updated 5 years ago
• OpenXAIProject / Interactive_Attention_Learning
  ☆11Updated 5 years ago
• OpenXAIProject / Relational-Automatic-Statistician
  Expainable Baysian Models for Smooth Time Series Datasets (modified)
  ☆22Updated 5 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• OpenXAIProject / GNNExplainer-Tutorial
  ☆56Updated 5 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆59Updated 2 years ago
• OpenXAIProject / UncertintyAttention_DropMax
  Attention prediction model based on uncertainty
  ☆44Updated 6 years ago
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• Gabe-YHLee / NRAE-public
  ☆33Updated 2 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆54Updated 3 years ago
• sungbinlim / NeuBoots
  Neural Bootstrapper (NeuBoots)
  ☆25Updated 3 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆62Updated 3 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆33Updated 4 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆19Updated 5 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 …
  ☆41Updated 4 years ago
• sc782 / SBM-Transformer
  ☆14Updated 2 years ago