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Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts i…
Code of the ESA Anomaly Detection Benchmark
Cross-Domain Object Detection for UAV-based Thermal Imaging
A collection of problem specifications in Essence.
Repository concerning the project "Sommatore quantistico" of the course "Introduzione all'informazione e calcolo quantistico" taken in 2020 at "Politecnico di Torino"
Build scripts for containers running various PX4 setups, like SITL with ROS.
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Exercises for the "Functional Programming Principles in Scala", part of the FP in Scala specialized program by EPFL.
From-scratch implementation of a fully-connected neural network (Multi Layer Perceptron) in Julia.
reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
A curated list of awesome Deep Learning tutorials, projects and communities.