Alternatives and similar repositories for DASH-Direction-Aware-SHrinking

Users that are interested in DASH-Direction-Aware-SHrinking are comparing it to the libraries listed below

• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆36Updated last year
• HanseulJo / position-coupling
  Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure (NeurIPS 2024) + Arithmetic Transfor…
  ☆11Updated last month
• cjyaras / deep-lora-transformers
  Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)
  ☆14Updated 10 months ago
• locuslab / edge-of-stability
  ☆67Updated 6 months ago
• LOG-postech / ZIP
  ☆13Updated 2 months ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆16Updated 6 months ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 3 years ago
• chrhenning / posterior_replay_cl
  Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.
  ☆16Updated 7 months ago
• MarlonBecker / MSAM
  ☆19Updated last year
• naver-ai / dawin
  ☆24Updated 2 months ago
• allenbai01 / transformers-as-statisticians
  ☆32Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆34Updated 11 months ago
• wrh14 / online_adaptation_to_label_distribution_shift
  Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".
  ☆15Updated 2 years ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• ws-jiang / awesome-sharpeness-aware-minimization
  ☆11Updated last year
• stephane-rivaud / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆12Updated 2 years ago
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆102Updated last year
• alvin-zyl / CoLA
  Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
  ☆22Updated 3 months ago
• nblt / RWP
  ☆11Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• chengxiang / LinearTransformer
  Pytorch code for experiments on Linear Transformers
  ☆21Updated last year
• mingluzhao / Latent-Plan-Transformer
  Source code for "Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference." In NeurIPS 2024
  ☆16Updated 6 months ago
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆68Updated 4 months ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆27Updated last year
• Cranial-XIX / Continual-Learning-Private-Unlearning
  Official PyTorch Implementation for Continual Learning and Private Unlearning
  ☆15Updated 2 years ago
• csm9493 / L2UL
  Official Code of Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers (AAAI 2024)
  ☆17Updated 7 months ago