Alternatives and similar repositories for active-surrogate-estimators

Users that are interested in active-surrogate-estimators are comparing it to the libraries listed below

• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• kailas-v / human-ai-interactions
  ☆12Updated 2 years ago
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 11 months ago
• MadryLab / datamodels
  ☆29Updated 2 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated 2 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆16Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆57Updated last year
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• RandallBalestriero / SplineLLM
  ☆16Updated last year
• hartvigsen-group / composable-interventions
  ☆28Updated 4 months ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆24Updated last year
• msakarvadia / AttentionLens
  Interpretating the latent space representations of attention head outputs for LLMs
  ☆33Updated 10 months ago
• ethz-spylab / superhuman-ai-consistency
  ☆29Updated 2 years ago
• cassidylaidlaw / orpo
  ☆16Updated 7 months ago
• felixzli / synthetic_pretraining
  ☆39Updated 2 years ago
• allenbai01 / transformers-as-statisticians
  ☆32Updated last year
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated last month
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆15Updated last year
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• upiterbarg / lintseq
  [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
  ☆19Updated 4 months ago
• pomonam / jax-influence
  A simple Jax implementation of influence functions.
  ☆16Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• bilal-chughtai / rep-theory-mech-interp
  ☆26Updated 2 years ago
• aks2203 / easy-to-hard-data
  Pytorch Datasets for Easy-To-Hard
  ☆27Updated 5 months ago
• p-lambda / in-n-out
  Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
  ☆13Updated 3 years ago
• EleutherAI / w2s
  ☆23Updated 9 months ago
• GDPlumb / ExpO
  Explanation Optimization
  ☆13Updated 4 years ago
• google-deepmind / exedec
  ☆12Updated last year