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
  ☆94Updated last week
• deel-ai / oodeel
  Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
  ☆56Updated 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…
  ☆29Updated last month
• airbus / decomon
  ☆28Updated 11 months ago
• deel-ai / xplique
  👋 Xplique is a Neural Networks Explainability Toolbox
  ☆674Updated 5 months ago
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆316Updated 2 months ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆34Updated 11 months ago
• paulnovello / HSIC-Attribution-Method
  ☆13Updated 2 years ago
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆42Updated this week
• fel-thomas / Sobol-Attribution-Method
  👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
  ☆27Updated 2 years ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆117Updated last week
• serre-lab / Horama
  ☆10Updated 4 months ago
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆21Updated 3 months ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆240Updated 7 months ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆17Updated this week
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆43Updated last week
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆62Updated last year
• serre-lab / Lens
  LENS Project
  ☆47Updated last year
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆146Updated 2 years ago
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆22Updated 5 months ago
• 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…
  ☆236Updated 2 years ago
• cambridge-mlg / cifar-10s
  HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator
  ☆10Updated 2 years ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆146Updated 3 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆96Updated last month
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆283Updated last month
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆594Updated last month
• scikit-activeml / scikit-activeml
  scikit-activeml: Python library for active learning on top of scikit-learn
  ☆161Updated last week
• x-y-zhao / BayLime
  bayesian lime
  ☆17Updated 7 months ago
• jim-berend / semanticlens
  ☆10Updated 3 months ago