Alternatives and similar repositories for 2023L-ExploratoryDataAnalysis

Users that are interested in 2023L-ExploratoryDataAnalysis are comparing it to the libraries listed below

• sobieskibj / kbdm
  ☆14Updated 3 months ago
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆140Updated 3 weeks ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆40Updated last year
• chr5tphr / zennit
  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
  ☆239Updated last week
• maxdreyer / Reveal2Revise
  Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
  ☆20Updated 2 years ago
• deel-ai / oodeel
  Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
  ☆60Updated 2 weeks ago
• deel-ai / deel-torchlip
  Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…
  ☆39Updated last week
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆68Updated 10 months ago
• SquareResearchCenter-AI / BEExAI
  Benchmark to Evaluate EXplainable AI
  ☆20Updated 10 months ago
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆639Updated 2 weeks ago
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆102Updated 10 months ago
• mim-uw / eXplainableMachineLearning-2024
  eXplainable Machine Learning 2023/24 at MIM UW
  ☆22Updated 2 years ago
• deel-ai-papers / conformal-segmentation
  [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation
  ☆26Updated last year
• lkopf / cosy
  [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.
  ☆19Updated last week
• deel-ai / orthogonium
  New implementations of old orthogonal layers unlock large scale training.
  ☆29Updated 4 months ago
• jim-berend / semanticlens
  Mechanistic understanding and validation of large AI models with SemanticLens
  ☆50Updated 2 months ago
• kaifishr / PyTorchRelevancePropagation
  A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
  ☆102Updated 3 years ago
• deel-ai / xplique
  👋 Xplique is a Neural Networks Explainability Toolbox
  ☆731Updated 2 weeks ago
• deel-ai / influenciae
  👋 Influenciae is a Tensorflow Toolbox for Influence Functions
  ☆65Updated this week
• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆37Updated 3 years ago
• tleemann / road_evaluation
  Source Code of the ROAD benchmark for feature attribution methods (ICML22)
  ☆24Updated 2 years ago
• serre-lab / Horama
  ☆16Updated 9 months ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆35Updated last year
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆179Updated last year
• lisa-wm / entropybaseduq
  ☆11Updated 10 months ago
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
  ☆45Updated last year
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• valentyn1boreiko / DVCEs
  ☆44Updated last year
• visinf / funnybirds-framework
  FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)
  ☆17Updated last year
• zaccharieramzi / jz-hydra-submitit-launcher
  A utility to be able to launch jobs on JZ with reasonable defaults
  ☆19Updated 2 years ago