Alternatives and similar repositories for dataperf:

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

• mlfoundations / dataset2metadata
  ☆24Updated last year
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 2 years ago
• felixzli / synthetic_pretraining
  ☆39Updated 2 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆37Updated 2 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 2 years ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 8 months ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated last year
• MadryLab / datamodels
  ☆28Updated last year
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆20Updated last year
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆23Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• viswavi / datafinder
  ☆26Updated last year
• naotoo1 / Beyond-Neural-Scaling
  Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
  ☆34Updated 3 weeks ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆33Updated 9 months ago
• jmerullo / lm_vector_arithmetic
  ☆34Updated last year
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆88Updated last year
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆21Updated last month
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆75Updated last year
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆53Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated last month
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆25Updated 4 years ago
• xtinkt / editable
  A supplementary code for Editable Neural Networks, an ICLR 2020 submission.
  ☆46Updated 5 years ago
• NoviScl / GPT3-Reliability
  ☆78Updated 2 years 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"
  ☆12Updated 3 years ago
• cambridgeltl / autopeft
  AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)
  ☆45Updated last year
• hartvigsen-group / composable-interventions
  ☆28Updated last month
• shauli-ravfogel / rlace-icml
  ☆36Updated 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 last year