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Top 6 Python differential-privacy Projects
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gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Project mention: Ask HN: If we train an LLM with “data” instead of “language” tokens | news.ycombinator.com | 2023-08-16Hey there! Co-founder of Gretel.ai here, and I think I can provide some insights on this topic.
Firstly, the concept you're hinting at is not purely traditional ML. In traditional machine learning, we often prioritize feature extraction and engineering specific to a given problem space before training.
What you're describing and what we've been working on at Gretel.ai, is leveraging the power of models like Large Language Models (LLMs) to understand and extrapolate from vast amounts of diverse data without the need for time-consuming feature engineering. Here's a link to our open-source library https://github.com/gretelai/gretel-synthetics for synthetic data generation (currently supporting GAN and RNN-based language models), and also our recent announcement around a Tabular LLM we're training to help people build with data https://gretel.ai/tabular-llm
A few areas where we've found tabular or Large Data Models to be really useful are:
Project mention: Pfl: Python framework for Private Federated Learning simulations | news.ycombinator.com | 2024-03-05
Python differential-privacy related posts
- Ask HN: If we train an LLM with “data” instead of “language” tokens
- Which open source tool for generating synthetic data sets?
- Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy
- Well, crackers.
- Anyone here building something new on their own?
- Gretel-synthetics: open-source library to create synthetic datasets
- Differential Privacy project on Python
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A note from our sponsor - InfluxDB
www.influxdata.com | 19 Apr 2024
Index
What are some of the best open-source differential-privacy projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | differential-privacy-library | 775 |
2 | gretel-synthetics | 530 |
3 | PyDP | 476 |
4 | PrivacyEngCollabSpace | 218 |
5 | pfl-research | 177 |
6 | GreyNSights | 21 |