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…
  ☆184Updated 5 months ago
• YefanZhou / TempBalance
  [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
  ☆35Updated 2 months ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆45Updated 8 months ago
• ZO-Bench / ZO-LLM
  [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆105Updated 11 months ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆114Updated 5 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 2 years ago
• zzp1012 / SAM-in-Late-Phase
  [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"
  ☆11Updated 4 months ago
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆34Updated 5 months ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆31Updated 7 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 9 months ago
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆59Updated 3 months ago
• glorgao / SelectiveDPO
  Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  ☆37Updated 2 months ago
• hqsiswiliam / hira
  The repo for HiRA paper
  ☆16Updated last month
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆59Updated 3 months ago
• hanyang1999 / discrete-diffusion-papers
  A collection of papers on discrete diffusion models
  ☆145Updated 2 weeks ago
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆37Updated 3 weeks ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated last year
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆13Updated last year
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated last year
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆18Updated 3 months ago
• princeton-pli / what-makes-good-rm
  What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆32Updated this week
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆31Updated last year
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆19Updated 3 years ago
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆28Updated 2 months ago
• Trustworthy-ML-Lab / ThinkEdit
  An effective weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study uncovering how reasoning length…
  ☆12Updated 2 weeks ago
• locuslab / edge-of-stability
  ☆68Updated 6 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆77Updated 2 weeks ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆26Updated 5 months ago
• Yuheng2000 / Awesome-LoRA
  Awesome Low-Rank Adaptation
  ☆39Updated 2 weeks ago