Alternatives and similar repositories for ntk-sketch-rf

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

• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆121Updated last year
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 4 years ago
• meghdadk / SCRUB
  ☆51Updated last year
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆24Updated 3 years ago
• ml-postech / gradient-inversion-generative-image-prior
  ☆47Updated 4 years ago
• umd-huang-lab / Dynamics-Aware-Robust-Training
  ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…
  ☆25Updated 2 years ago
• JunjieYang97 / MRVRBO
  Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
  ☆15Updated 4 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆53Updated 2 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆68Updated 5 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆386Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆124Updated 2 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆38Updated 3 years ago
• nsfzyzz / boundary_thickness
  [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
  ☆20Updated 5 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• epfml / ChocoSGD
  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
  ☆75Updated 5 years ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆69Updated 5 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 3 years ago
• nv-tlabs / DP-Sinkhorn_code
  ☆12Updated 3 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.
  ☆19Updated 2 years ago
• 2019ChenGong / DPImageBench
  [CCS 2025] DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.
  ☆28Updated last week
• 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
• ml-postech / robust-deep-learning-from-crowds-with-belief-propagation
  Official PyTorch implementation of "Robust Deep Learning from Crowds with Belief Propagation"
  ☆19Updated 3 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 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
• lhfowl / robbing_the_fed
  ☆26Updated 4 years ago
• DingfanChen / GS-WGAN
  Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
  ☆70Updated 3 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆59Updated 5 years ago
• hongliny / FedAc-NeurIPS20
  Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)
  ☆15Updated 4 years ago