Alternatives and similar repositories for foltr-es

Users that are interested in foltr-es are comparing it to the libraries listed below

• facebookresearch / private_prediction
  The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …
  ☆20Updated 4 years ago
• epfml / cola
  CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883
  ☆20Updated 3 years ago
• tginart / deletion-efficient-kmeans
  Research prototype of deletion efficient k-means algorithms
  ☆24Updated 5 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆77Updated 6 years ago
• kohpangwei / data-poisoning-release
  ☆33Updated 7 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• liaopeiyuan / GAL
  [ICML 2021] Information Obfuscation of Graph Neural Networks
  ☆36Updated 4 years ago
• mmalekzadeh / privacy-preserving-bandits
  Privacy-Preserving Bandits (MLSys'20)
  ☆22Updated 2 years ago
• BenKosSoft / pymovielens
  Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.
  ☆11Updated 7 years ago
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆67Updated 3 months ago
• michaelfarrell76 / Distributed-SGD
  Parallel SGD, done locally and remote
  ☆14Updated 9 years ago
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆64Updated 4 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 7 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 3 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆110Updated 5 years ago
• alps-lab / dpgan
  Differentially private release of semantic rich data
  ☆35Updated 4 years ago
• piotrMocz / fml_nets
  Federated Machine Learning Using MLP
  ☆10Updated 8 years ago
• houshd / TS_Adv
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆21Updated 6 years ago
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆182Updated 4 years ago
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• yihong-chen / lambda-opt
  Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
  ☆53Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• mengf1 / PAL
  Policy based Active Learning with DQN (EMNLP-2017)
  ☆90Updated 7 years ago
• twistedcubic / coin-press
  [NeurIPS 2020] Simple and practical private mean and covariance estimation.
  ☆35Updated 5 years ago
• seba-1511 / igt.pth
  Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
  ☆21Updated 6 years ago
• xuanqing94 / BayesianDefense
  Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
  ☆62Updated 6 years ago
• rdspring1 / Count-Sketch-Optimizers
  A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
  ☆27Updated 5 years ago
• dalgu90 / splitnet-wrn
  Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
  ☆54Updated 8 years ago