Alternatives and similar repositories for Expressive_Power_of_LoRA:

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

• formll / resolving-scaling-law-discrepancies
  ☆19Updated 10 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• yikangshen / megablocks
  ☆20Updated 11 months ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆24Updated 5 months ago
• nrimsky / InfluenceFunctions
  Implementation of Influence Function approximations for differently sized ML models, using PyTorch
  ☆15Updated last year
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 3 weeks ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆16Updated 2 years ago
• sjelassi / transformers_ssm_copy
  ☆31Updated 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
• ethz-spylab / superhuman-ai-consistency
  ☆29Updated last year
• cassidylaidlaw / orpo
  ☆15Updated 6 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆19Updated 3 months ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• ablghtianyi / ICL_Modular_Arithmetic
  ☆18Updated last month
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆28Updated last year
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆16Updated 3 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• r-three / mats
  ☆30Updated 10 months ago
• katiekang1998 / reasoning_generalization
  ☆31Updated 4 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 3 months ago
• wenzhe-li / Self-MoA
  ☆18Updated 3 months ago
• mcleish7 / gemstone-scaling-laws
  ☆24Updated 2 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆40Updated 2 months ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆25Updated 10 months ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 9 months ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆76Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆18Updated 11 months ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year