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[ICCV 2019] Monocular depth estimation from a single image
An educational AI robot based on NVIDIA Jetson Nano.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
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
python automatic data quality check toolkit
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).
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…
Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at Télécom ParisTech + internship report "On the Quantum Speed-u…
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
Collective training of neural networks on distributed datasets.
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
Implementation of proof of concept quantum enhanced reinforced learning algorithm, able to find the sequence of quantum gates needed to approximate a given function.
Semantic localization and mapping (SLAM), monocular depth prediction, and odometry techniques using deep CNNs
Collective Reinforcement Learning Dynamics in Python
Comparative study: Quantum vs. classical models for Cart Pole. Examining entanglement layers and data re-uploading, highlighting quantum model superiority.