Alternatives and similar repositories for optML-pku

Users that are interested in optML-pku are comparing it to the libraries listed below

• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆121Updated last year
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated last year
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆70Updated last year
• locuslab / edge-of-stability
  ☆73Updated last year
• 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…
  ☆205Updated last year
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆99Updated last year
• ZO-Bench / ZO-LLM
  [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆123Updated 7 months ago
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆63Updated 10 months ago
• 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…
  ☆293Updated last year
• chengxiang / LinearTransformer
  Pytorch code for experiments on Linear Transformers
  ☆25Updated 2 years ago
• insuhan / ntk-sketch-rf
  Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
  ☆13Updated 3 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆94Updated last week
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆52Updated last year
• YefanZhou / TempBalance
  [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
  ☆36Updated 10 months ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆63Updated 2 years ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆33Updated last year
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 4 years ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆390Updated last month
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago
• Yanjun-Zhao / HiZOO
  Second-Order Fine-Tuning without Pain for LLMs: a Hessian Informed Zeroth-Order Optimizer
  ☆23Updated 11 months ago
• Kaffaljidhmah2 / Arxiv-Recommender
  ☆50Updated 2 years ago
• DS3Lab / AC-SGD
  Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.
  ☆28Updated 2 years ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆39Updated last year
• Liang137 / DPZero
  [ICML 2024] DPZero: Private Fine-Tuning of Language Models without Backpropagation
  ☆16Updated last year
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 8 months ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆20Updated 4 years ago
• jongharyu / neural-svd
  Official PyTorch implementation of NeuralSVD (ICML 2024)
  ☆22Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆128Updated last year
• epfml / topology-in-decentralized-learning
  Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.
  ☆13Updated 3 years ago