Alternatives and similar repositories for DIS

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

• HexHive / thesis_template
  Template for EPFL (BSc, MSc, or doctoral) theses and semester projects
  ☆137Updated last year
• epfml / ML_course
  EPFL Machine Learning Course, Fall 2025
  ☆2,008Updated last month
• zifeo / EPFL
  EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).
  ☆178Updated 4 years ago
• epfl-ada / 2020
  Materials for Applied Data Analysis CS-401, fall 2020
  ☆51Updated 3 years ago
• epfl-ada / 2021
  Materials for Applied Data Analysis CS-401, Fall 2021
  ☆45Updated 3 years ago
• epfl-ada / 2023
  Materials for Applied Data Analysis CS-401, Fall 2023
  ☆38Updated last year
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,376Updated 6 months ago
• epfl-ada / 2024
  Materials for Applied Data Analysis CS-401, Fall 2024
  ☆49Updated last year
• saist1993 / fairgrad
  FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.
  ☆14Updated 2 years ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆697Updated 9 months ago
• naveedanwarbhatti / Google-Scholar-Venue-Ranker
  ☆21Updated last week
• jjbrophy47 / machine_unlearning
  Existing Literature about Machine Unlearning
  ☆944Updated 5 months ago
• uclanlp / awesome-fairness-papers
  Papers on fairness in NLP
  ☆451Updated last year
• zhijing-jin / nlp-phd-global-equality
  A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
  ☆972Updated last year
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆332Updated 2 years ago
• tamlhp / awesome-machine-unlearning
  Awesome Machine Unlearning (A Survey of Machine Unlearning)
  ☆928Updated 3 weeks ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,169Updated 6 months ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆182Updated 3 years ago
• alexjungaalto / FederatedLearning
  Material workbench for the master-level course CS-E4740 "Federated Learning"
  ☆172Updated 3 weeks ago
• yzhao062 / data-mining-conferences
  Ranking, acceptance rate, deadline, and publication tips
  ☆338Updated 4 years ago
• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆190Updated 2 years ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆369Updated last month
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆636Updated 2 weeks ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆276Updated last year
• jafermarq / FlowerMonthly
  Short, easy to run, code examples presented in the Flower's FlowerMonthly online meetings.
  ☆14Updated last year
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆10Updated 6 years ago
• CSrankings / CSrankings-1
  A web app for ranking computer science departments according to their research output in selective venues.
  ☆60Updated last year
• HazyResearch / data-centric-ai
  Resources for Data Centric AI
  ☆1,133Updated 2 years ago
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆634Updated last year
• meta-pytorch / opacus
  Training PyTorch models with differential privacy
  ☆1,898Updated 2 months ago