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…
  ☆196Updated 8 months ago
• zzp1012 / SAM-in-Late-Phase
  [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"
  ☆14Updated 6 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆104Updated 2 years ago
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆12Updated 6 months ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆362Updated 2 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 ".
  ☆111Updated 2 months ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆49Updated 10 months ago
• Furyton / awesome-language-model-analysis
  This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…
  ☆89Updated 9 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated last year
• YefanZhou / TempBalance
  [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
  ☆35Updated 5 months ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆116Updated 8 months ago
• kyrie-23 / linear_task_arithmetic
  ☆11Updated last month
• Kaffaljidhmah2 / Arxiv-Recommender
  ☆52Updated last year
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆289Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆35Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆37Updated 2 months ago
• 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…
  ☆19Updated last month
• hanyang1999 / discrete-diffusion-papers
  A collection of papers on discrete diffusion models
  ☆160Updated 2 months ago
• dtsip / in-context-learning
  ☆238Updated last year
• Guangxuan-Xiao / GSM8K-eval
  ☆50Updated last year
• Lingkai-Kong / RE-Control
  Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective
  ☆34Updated 7 months ago
• Joshua-Ren / Learning_dynamics_LLM
  ☆166Updated 4 months ago
• hanshen95 / penalized-bilevel-gradient-descent
  An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.
  ☆18Updated 2 years ago
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆150Updated 4 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated 11 months ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆29Updated 8 months ago
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆42Updated 3 years 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…
  ☆13Updated 3 weeks ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆124Updated 2 months ago
• locuslab / edge-of-stability
  ☆70Updated 9 months ago