Alternatives and similar repositories for conformal-safety

Users that are interested in conformal-safety are comparing it to the libraries listed below

• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆32Updated 2 years ago
• tatsu-lab / conformal-factual-lm
  ☆33Updated last year
• rachtibat / LRP-eXplains-Transformers
  Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
  ☆213Updated 5 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆40Updated last year
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆224Updated last year
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 11 months ago
• BigML-CS-UCLA / SpuCo
  SpuCo is a Python package developed to further research to address spurious correlations.
  ☆24Updated 11 months ago
• Wuyxin / DISC
  (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  ☆42Updated last month
• ykwon0407 / dataoob
  Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
  ☆21Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• HugoFry / mats_sae_training_for_ViTs
  ☆23Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆84Updated last year
• uvanlp / valda
  A Python Data Valuation Package
  ☆30Updated 2 years ago
• efarrell1 / train_sparse_autoencoder
  Trains Sparse Autoencoders based on outputs from language models
  ☆11Updated last year
• zlin7 / UQ-NLG
  ☆104Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆41Updated last year
• aadityasingh / icl-dynamics
  ☆24Updated 8 months ago
• batmanlab / ICML-2023-Route-interpret-repeat
  [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…
  ☆25Updated 5 months ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆92Updated last year
• rushrukh / awesome-explainable-ai
  A repository for summaries of recent explainable AI/Interpretable ML approaches
  ☆88Updated last year
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆64Updated 8 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• parameterlab / apricot
  Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024
  ☆22Updated last year
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…
  ☆72Updated 2 months ago
• dtsip / in-context-learning
  ☆241Updated last year
• adamkarvonen / SAEBench
  ☆140Updated last week
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated 3 months ago