Popular GitHub Repositories for Reinforced Concrete

Solve Visual Understanding with Reinforced VLMs

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

Reinforced Recommendation toolkit built around pytorch 1.7

Pointer-generator reinforced seq2seq summarization in PyTorch

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

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

Bayesian Neural Network in PyTorch

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

Developing a four-legged Quadruped robot 'DIPLOID' with stable walking by reinforced learning on bezier gait and terrain awareness using SLAM technique as a part of long-term project undertaken by Team Robocon. (2019-present)

Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022

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.

Official code implementation of the papers "Tracking-by-Trackers with a Distilled and Reinforced Model" (ACCV 2020) and "Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator" (ICCVW 2019).

Cross-modal Reinforced Prompting for Graph and Language Tasks, KDD 2024.

RVEtool for defects is a high-performance modeling package for generating, meshing and solving fiber-reinforced based micromechanical models including the presence of defects. It uses Alya as the structural mechanics solver and executed with PyCOMPSs allows synthetic data generation for AI model deployment.