Alternatives and similar repositories for jax-influence

Users that are interested in jax-influence are comparing it to the libraries listed below

• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆91Updated last year
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆83Updated last year
• google-research / heldout-influence-estimation
  ☆62Updated 4 years ago
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆171Updated 5 months ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆222Updated last year
• MadryLab / datamodels
  ☆31Updated 2 years ago
• r-three / mats
  ☆32Updated last year
• mlepori1 / NeuroSurgeon
  NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers
  ☆42Updated 9 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆95Updated last week
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• KihoPark / linear_rep_geometry
  ☆110Updated 9 months ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆39Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆89Updated 2 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆30Updated 5 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 5 years ago
• aNOnWhyMooS / connectivity
  ☆18Updated last year
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆23Updated 2 years ago
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆57Updated last month
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated last year
• dtsip / in-context-learning
  ☆242Updated last year
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆77Updated 3 years ago
• jayelm / compexp
  Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032
  ☆26Updated 4 years ago
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆152Updated 2 years ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated 2 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 5 years ago