Tutorials and programming exercises for learning Q# and quantum computing

[ICCV 2019] Monocular depth estimation from a single image

An educational AI robot based on NVIDIA Jetson Nano.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

Tutorial notebooks for hls4ml

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

Deep Variational Reinforcement Learning

This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).

Deep Lidar Inertial Odometry

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be rep…

WiFi based Radio-Inertial Localization

Implementation of the paper Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach (IEEE Sensors Letters, 2020), which utilizes Generative Adversar…

Machine-learned, GPU-accelerated particle flow reconstruction

Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)

Indoor navigation using deep Q reinforcement learning

A workspace for the programming assignments in the Introduction to Robotics lecture.

Blockchain Enabled Asynchronous and Secure Federated Machine Learning

Federated Deep Reinforcement Learning for Swarm Robotic Systems

Semantic localization and mapping (SLAM), monocular depth prediction, and odometry techniques using deep CNNs

Collective Reinforcement Learning Dynamics in Python

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Python sample codes for robotics algorithms.

Codes and tests for quantum-driven swarm robotic simulations in Jupyter/Qiskit. Concept and coding: M. Mannone. Robotic simulations in Webots: code adapted by M. Mannone from the original one by A.…

A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.