AI · alternatives · 2026
24 alternatives to Logistic Regression Training on Encrypted Data with FHE
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks. - concrete-ml/docs/advanced_examples/LogisticRegressionTraining.ipynb at release/1.4.x · zama-ai/concrete-ml
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Logistic Regression Training on Encrypted Data with FHE launched in 2024; newer entries below may have overtaken it.
- 1
End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.
2025 · blog.wilsonl.in · its alternatives →
- 2
Encrypted image filtering using homomorphic encryption
2023 · huggingface.co · its alternatives →
- 3RW
Hi, creator here. This is a demo of our recent work presented at Oakland (IEEE S&P): https://eprint.iacr.org/2022/368. The server and client code are written in Rust and available here: https://github.com/menonsamir/spiral-rs. The general aim of our work is to show that homomorphic encryption is practical today for real-world applications. The server we use to serve this costs $35/month! A quick overview: the client uses homomorphic encryption to encrypt the article number that they would like to retrieve. The server processes the query and…
2022 · spiralwiki.com · its alternatives →
- 4
A tutorial on how to code a privacy-preserving version of Shazam using Zama Concrete ML.
2024 · zama.ai · its alternatives →
- 5
A Fully Homomorphic Encryption Brainfuck virtual machine - f-prime/arcanevm
2019 · github.com · its alternatives →
- 6
Explore and run AI code with Kaggle Notebooks | Using data from Titanic - Machine Learning from Disaster
2022 · kaggle.com · its alternatives →
- 7
We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…
Jul 2026 · ctgt.ai · its alternatives →
- 8
Framework for specifying and proving properties—such as robustness, fairness, and interpretability—of machine learning models using Lean 4. - fraware/leanverifier
2025 · github.com · its alternatives →
- 9
Most efforts to privately train machine-learning models either use homomorphic encryption or secure multi-party computation (MPC). Recent insights indicate…
2018 · blog.openmined.org · its alternatives →
- 10
NuCypher fully homomorphic encryption (NuFHE) library implemented in Python - nucypher/nufhe
2018 · github.com · its alternatives →
- 11
Secure collaborative training and inference for XGBoost. - mc2-project/secure-xgboost
2020 · github.com · its alternatives →
- 12
Free cross-platform deniable encryption cryptoarchiver - GitHub - zorggomat/FractalCryptGUI: Free cross-platform deniable encryption cryptoarchiver
2021 · github.com · its alternatives →
- 13
It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)
Jun 2026 · github.com · its alternatives →
- 14
This application allows you to simulate genetic data, encrypt it, and analyze it using Fully Homomorphic Encryption (FHE) to ensure your data remains private. You can simulate a family tree, encryp...
2024 · huggingface.co · its alternatives →
- 15
Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines). - joennlae/tensorli
2023 · github.com · its alternatives →
- 16
Fine-tuning, RL, and inference in one CLI
Dec 2025 · github.com · its alternatives →
- 17DH
2013 · 9ac345a5509a.github.io · its alternatives →
- 18
DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft - iamtrask/PyBV
2017 · github.com · its alternatives →
- 19
Update as of November 18, 2021: The version of PySyft mentioned in this post has been deprecated. Any implementations using this older version of PySyft are…
2019 · blog.openmined.org · its alternatives →
- 20
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
2024 · huggingface.co · its alternatives →
- 21
A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash
2015 · github.com · its alternatives →
- 22
How homomorphic encryption will change privacy online.
2021 · zama.org · its alternatives →
- 23
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling - GitHub - achillesrasquinha/bulbea: :boar: Deep Learning based Python Library for Stock Market Prediction and Modelling
2017 · github.com · its alternatives →
- 24
A Fully Homomorphic Encryption Brainfuck virtual machine - f-prime/arcanevm
2021 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →