Alternatives and similar repositories for dataperf

Users that are interested in dataperf are comparing it to the libraries listed below

• hartvigsen-group / composable-interventions
  ☆28Updated 3 months ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago
• mlfoundations / dataset2metadata
  ☆24Updated last year
• cambridgeltl / autopeft
  AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)
  ☆45Updated last year
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• jmerullo / lm_vector_arithmetic
  ☆35Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated 2 years ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 9 months 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
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆46Updated last year
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆20Updated last year
• EleutherAI / w2s
  ☆23Updated 8 months ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆15Updated last year
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆89Updated last year
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• mmatena / model_merging
  ☆67Updated 3 years ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆108Updated last year
• bowen-upenn / llm_token_bias
  [EMNLP 2024] A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
  ☆21Updated 5 months ago
• XiangLi1999 / AutoBencher
  ☆29Updated 10 months ago
• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 years ago
• MadryLab / datamodels
  ☆28Updated 2 years ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 2 years ago
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆24Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated 3 months ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year