r-three / matsLinks
☆32Updated last year
Alternatives and similar repositories for mats
Users that are interested in mats are comparing it to the libraries listed below
Sorting:
- ☆80Updated 3 years ago
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Updated 4 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆110Updated 2 years ago
- Bayesian low-rank adaptation for large language models☆28Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆22Updated 4 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- ☆52Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆25Updated 2 years ago
- Host CIFAR-10.2 Data Set☆13Updated 4 years ago
- ☆63Updated 4 years ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 9 months ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆108Updated this week
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆79Updated last year
- ☆34Updated 2 years ago
- ☆37Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆229Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- ☆48Updated 3 years ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆21Updated last year
- ☆46Updated 2 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆38Updated last year
- ☆51Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Updated 3 years ago
- ☆39Updated 3 years ago
- Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training i…☆17Updated last year