mlcommons / dataperfLinks
Data Benchmarking
☆21Updated last year
Alternatives and similar repositories for dataperf
Users that are interested in dataperf are comparing it to the libraries listed below
Sorting:
- In-context Example Selection with Influences☆15Updated 2 years ago
- 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
- ☆24Updated last year
- Code for "The Expressive Power of Low-Rank Adaptation".☆20Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 3 months ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- Recycling diverse models☆44Updated 2 years ago
- ☆28Updated 3 months ago
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆34Updated last month
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated 2 years ago
- ☆54Updated 2 years ago
- ☆69Updated 3 years ago
- Google Research☆46Updated 2 years ago
- ☆39Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)☆45Updated last year
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆38Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆23Updated 3 months ago
- ☆60Updated 3 years ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆46Updated last year
- ☆9Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆106Updated last year
- ☆31Updated 5 years ago
- Implementation of Influence Function approximations for differently sized ML models, using PyTorch☆15Updated last year
- NLPBench: Evaluating NLP-Related Problem-solving Ability in Large Language Models☆10Updated last year
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆57Updated 2 years ago
- [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf☆24Updated last year
- ☆23Updated last year
- NeurIPS'24 - LLM Safety Landscape☆22Updated 4 months ago