Popular GitHub Repositories for Concrete

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

[CVPR 2025] RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete. Official Repository.

TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

This whitepaper provides best practices and concrete examples for the secure implementation of artificial intelligence in web applications. It covers topics such as security, data protection, ethics, AI models and algorithms, development process, user training, and regulation.

Using Machine learning to predict the compressive strength of a concrete mixture

In this project we try to establish a concrete mathematical relation between common word pair relations and then to improve the performance of word embeddings by integrating word pair relations.

Python library for analyzing the concreteness and imageability of words and text. It provides tools to measure how abstract or concrete the language in a given text is, which can be useful for various natural language processing tasks, readability analysis, and linguistic research.

Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

This project is a concrete scenario showing a broad spectrum of REST API use cases for SAP Conversational AI.