Alternatives and similar repositories for jax-influence

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

• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 3 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆16Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 3 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆45Updated 2 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• aks2203 / easy-to-hard-data
  Pytorch Datasets for Easy-To-Hard
  ☆28Updated 6 months ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆19Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• js-d / sim_metric
  ☆37Updated last year
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆89Updated last year
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated last year
• mil-ad / prospr
  Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients
  ☆31Updated 3 years ago
• MadryLab / bias-transfer
  ☆15Updated 2 years ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated 2 years ago
• r-three / mats
  ☆31Updated last year
• MadryLab / datamodels
  ☆29Updated 2 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆37Updated 2 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 4 years ago
• HazyResearch / correct-n-contrast
  Official code repository for Correct-N-Contrast
  ☆22Updated 3 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆18Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆50Updated 2 years ago