Alternatives and similar repositories for DIS

Users that are interested in DIS are comparing it to the libraries listed below

• epfml / ML_course
  EPFL Machine Learning Course, Fall 2024
  ☆1,315Updated 7 months ago
• HexHive / thesis_template
  Template for EPFL (BSc, MSc, or doctoral) theses and semester projects
  ☆136Updated 7 months ago
• epfl-ada / 2023
  Materials for Applied Data Analysis CS-401, Fall 2023
  ☆39Updated last year
• zifeo / EPFL
  EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
  ☆170Updated 3 years ago
• epfl-ada / 2021
  Materials for Applied Data Analysis CS-401, Fall 2021
  ☆45Updated 2 years ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,325Updated last month
• saist1993 / fairgrad
  FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.
  ☆14Updated last year
• gtolomei / big-data-computing
  ☆77Updated this week
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆677Updated 4 months ago
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆620Updated last year
• uclanlp / awesome-fairness-papers
  Papers on fairness in NLP
  ☆448Updated last year
• epfl-ada / 2022
  Materials for Applied Data Analysis CS-401, Fall 2022
  ☆23Updated last year
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆327Updated last year
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆175Updated 2 years ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆349Updated 2 months ago
• epfl-ada / 2024
  Materials for Applied Data Analysis CS-401, Fall 2024
  ☆50Updated 7 months ago
• poloclub / awesome-grad-school
  🎓 Advice and resources for thriving and surviving graduate school
  ☆389Updated 2 months ago
• naveedanwarbhatti / Google-Scholar-Conference-Ranker
  ☆18Updated last month
• erodola / DLAI-s2-2020
  Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2020, Sapienza University of Rome
  ☆33Updated 5 years ago
• alexjungaalto / FederatedLearning
  Material workbench for the master-level course CS-E4740 "Federated Learning"
  ☆142Updated last month
• kourgeorge / arxiv-style
  A Latex style and template for paper preprints (based on NIPS style)
  ☆1,339Updated last year
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆944Updated last year
• socialfoundations / folktables
  Datasets derived from US census data
  ☆268Updated last year
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,535Updated last month
• RumbleDB / bigdata-exercises
  Exercises for the Big Data lecture at ETH Zurich (Fall 2025)
  ☆143Updated 3 months ago
• Guyanqi / Awesome-Privacy
  Repository for collection of research papers on privacy.
  ☆341Updated last year
• nlpaueb / greek-bert
  A Greek edition of BERT pre-trained language model
  ☆148Updated last year
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆314Updated 7 months ago
• pytorch / opacus
  Training PyTorch models with differential privacy
  ☆1,843Updated last week
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,160Updated last month