Alternatives and similar repositories for ntk-sketch-rf:

Users that are interested in ntk-sketch-rf are comparing it to the libraries listed below

• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆47Updated 3 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆109Updated 3 months ago
• JunjieYang97 / MRVRBO
  Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
  ☆15Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 years ago
• meghdadk / SCRUB
  ☆44Updated 8 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.
  ☆17Updated 2 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆56Updated 2 years ago
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆25Updated 3 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• hongliny / FCO-ICML21
  Code repository is for "Federated Composite Optimization", to appear in ICML 2021
  ☆12Updated 3 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆42Updated 2 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• LYang-666 / TRGP
  [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"
  ☆21Updated 2 years ago
• ml-postech / gradient-inversion-generative-image-prior
  ☆40Updated 3 years ago
• devnkong / GOAT
  Official implementation of GOAT model (ICML2023)
  ☆37Updated last year
• epfml / ChocoSGD
  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
  ☆68Updated 4 years ago
• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆117Updated last year
• AdityaGolatkar / SelectiveForgetting
  ☆56Updated 4 years ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆63Updated 4 years ago
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• sndnyang / JEMPP
  PyTorch implementation of JEM++: Improved Techniques for Training JEM
  ☆13Updated 2 years ago
• ucr-optml / FedNest
  Federated Bilevel Optimization
  ☆16Updated 2 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• Johswald / learning_where_to_learn
  ☆38Updated 6 months ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated 2 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆39Updated 9 months ago