This group aims to study pysyft tutorial parts and The Algorithmic Foundationsof Differential Privacy book chapters.
☆20Oct 6, 2022Updated 3 years ago
Alternatives and similar repositories for OM-Study-Group
Users that are interested in OM-Study-Group are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆42Dec 8, 2022Updated 3 years ago
- This repository hosts the tutorial for Project T, an initiative by the students of Secure and Private AI scholarship challenge.☆12Jul 23, 2019Updated 6 years ago
- Explanatory notes on Cynthia Dwork's text on privacy originally created for Facebook's SPAI scholarship challenge☆53Aug 19, 2021Updated 4 years ago
- ☆12Jan 10, 2023Updated 3 years ago
- Speaker Diarization using GRU in PyTorch☆11Aug 29, 2020Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A privacy-preserving app for comparing last-known locations of coronavirus patients☆43Jul 18, 2023Updated 2 years ago
- A repository to keep all open sources projects that created by individuals or study groups.☆123Sep 2, 2019Updated 6 years ago
- ☆22Jan 5, 2023Updated 3 years ago
- Everything you need to know to contribute to OpenMined!☆217Jan 21, 2024Updated 2 years ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆120Feb 26, 2020Updated 6 years ago
- ☆14Sep 25, 2020Updated 5 years ago
- A repo for exploring the use of Hyperledger Aries to facilitate decentralised identity services.☆11Jan 24, 2023Updated 3 years ago
- Submission for the 2020 Facebook community challenge☆10May 29, 2021Updated 4 years ago
- Jupyter notebooks introducing Twitter OSINT with TWINT☆19Jul 19, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Modular Adversarial Robustness Toolkit☆21Jul 11, 2025Updated 10 months ago
- The official Syft worker for iOS, built in Swift☆51Sep 6, 2021Updated 4 years ago
- ☆18Apr 2, 2026Updated last month
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Aug 31, 2020Updated 5 years ago
- The official Syft worker for secure on-device machine learning☆89Aug 20, 2021Updated 4 years ago
- Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…☆42Oct 8, 2019Updated 6 years ago
- ☆17Sep 11, 2020Updated 5 years ago
- Exercises for FastAI v2☆19Jan 11, 2021Updated 5 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆548May 11, 2026Updated 2 weeks ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆20Dec 12, 2019Updated 6 years ago
- FATQs in the Slack channel of Udacity's Private and Secure Scholarship Challenge.☆14Jun 21, 2022Updated 3 years ago
- ☆12Oct 3, 2020Updated 5 years ago
- Constraint Satisfaction Problem lab to solve the N-Queens problem☆22Jun 28, 2022Updated 3 years ago
- Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…☆26Jan 25, 2020Updated 6 years ago
- An AST pretty printer for Python 🐍☆14Feb 11, 2019Updated 7 years ago
- ☆12Sep 25, 2015Updated 10 years ago
- A list of awesome Scholarship articles, guides, blogs, courses and other resources.☆11May 30, 2024Updated last year
- Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining life…☆11Feb 21, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- No dependency responsive table library to fit large table data set into small device screen☆20Dec 10, 2024Updated last year
- Project Repo for GSoC 2019 at CERN☆11Jan 4, 2023Updated 3 years ago
- A notebook for the talk about Modern Pandas☆11Mar 16, 2020Updated 6 years ago
- Python Coding Practice Guide☆18Jan 25, 2024Updated 2 years ago
- Using Reinforcement Learning on a Tesla to optimize climate and energy☆17Dec 21, 2020Updated 5 years ago
- Around applying the VDF construcrtion based on isogenies between super-signular elliptic curves☆14Oct 19, 2021Updated 4 years ago
- As defined in Lubotzky, Philips and Sarnak☆10Oct 25, 2022Updated 3 years ago