Alternatives and similar repositories for influenciae

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

• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆96Updated 3 months ago
• deel-ai / oodeel
  Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
  ☆58Updated this week
• deel-ai / orthogonium
  New implementations of old orthogonal layers unlock large scale training.
  ☆17Updated 2 weeks ago
• airbus / decomon
  ☆37Updated 3 weeks ago
• deel-ai / deel-torchlip
  Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…
  ☆31Updated last week
• FOR-sight-ai / interpreto
  Documentation
  ☆23Updated this week
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆63Updated 2 months ago
• deel-ai / xplique
  👋 Xplique is a Neural Networks Explainability Toolbox
  ☆689Updated 8 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆333Updated 2 weeks ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆35Updated last year
• fel-thomas / Sobol-Attribution-Method
  👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
  ☆30Updated 2 years ago
• leoandeol / cods
  🐟 CODS - Conformal Object Detection and Segmentation
  ☆14Updated this week
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆65Updated last year
• paulnovello / HSIC-Attribution-Method
  ☆13Updated 2 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 10 months ago
• serre-lab / Lens
  LENS Project
  ☆48Updated last year
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆23Updated 6 months ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆131Updated last month
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆150Updated 2 years ago
• tornede / py_experimenter
  The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …
  ☆38Updated last month
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆241Updated 2 years ago
• MartinPawel / c-chvae
  ☆11Updated 4 years ago
• cambridge-mlg / cifar-10s
  HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator
  ☆10Updated 2 years ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆18Updated 3 weeks ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆48Updated this week
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆23Updated 8 months ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆92Updated 3 weeks ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆291Updated last year
• ENSTA-U2IS-AI / torch-uncertainty
  Open-source framework for uncertainty and deep learning models in PyTorch
  ☆405Updated last week