Alternatives and similar repositories for Awesome_Large_Foundation_Model_Theory

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

• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆181Updated 5 months ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆112Updated 4 months ago
• YefanZhou / TempBalance
  [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
  ☆35Updated last month
• ZO-Bench / ZO-LLM
  [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆104Updated 11 months ago
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆11Updated 3 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆102Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆44Updated 7 months ago
• zzp1012 / SAM-in-Late-Phase
  [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"
  ☆11Updated 3 months ago
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆59Updated 2 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 8 months ago
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆36Updated last week
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆36Updated last month
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆31Updated 7 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆75Updated last month
• siyan-zhao / ICL_decision_boundary
  official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…
  ☆18Updated 9 months ago
• 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
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆57Updated 7 months ago
• Kaffaljidhmah2 / Arxiv-Recommender
  ☆52Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 4 months ago
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆16Updated 2 months ago
• Model-GLUE / Model-GLUE
  ☆15Updated 9 months ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆26Updated 11 months ago
• alvin-zyl / CoLA
  Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
  ☆22Updated 3 months ago
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆67Updated 8 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆31Updated last year
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆13Updated last year
• Lingkai-Kong / RE-Control
  Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective
  ☆32Updated 4 months ago
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆125Updated last month