mekty2012 / Deep-Learning-Theory

Related projects ⓘ

Alternatives and complementary repositories for Deep-Learning-Theory

• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆94Updated 8 months ago
• epfml / optML-pku
  summer school materials
  ☆45Updated 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…
  ☆144Updated 3 weeks ago
• streethagore / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆10Updated last year
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆22Updated 2 weeks 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
  ☆18Updated 2 years ago
• locuslab / edge-of-stability
  ☆59Updated 3 years ago
• AKuzina / defend_vae_mcmc
  Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…
  ☆10Updated last year
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆18Updated last week
• insuhan / ntk-sketch-rf
  Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
  ☆14Updated 2 years ago
• hanshen95 / penalized-bilevel-gradient-descent
  An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.
  ☆16Updated last year
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆82Updated last week
• epfml / topology-in-decentralized-learning
  Code related to ’Beyond spectral gap: The role of the topology in decentralized learning‘.
  ☆11Updated 2 years ago
• devansh20la / LPF-SGD
  ☆14Updated last year
• shizhouxing / Local-Lipschitz-Constants
  [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"
  ☆22Updated 11 months ago
• UbiquitousLearning / Backpropagation_Free_Training_Survey
  ☆17Updated 9 months ago
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆19Updated 4 months ago
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• zbh2047 / L_inf-dist-net-v2
  [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
  ☆22Updated 2 years ago
• LOG-postech / SAM-overparam
  Code for reproducing the results from arXiv paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"
  ☆13Updated 4 months ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated last year
• mariuslindegaard / Intermediate_Neural_Collapse
  (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code
  ☆13Updated last year
• AntixK / FedDyn
  Federated Learning Based Dynamic Regularization
  ☆18Updated 3 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆82Updated 3 years ago
• weizeming / SAM_AT
  ☆19Updated 5 months ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆111Updated last year
• pierreHmbt / FedCP-QQ
  Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)
  ☆11Updated last year
• ws-jiang / awesome-sharpeness-aware-minimization
  ☆10Updated last year
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆34Updated 5 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆43Updated 2 years ago