mstaps1

academy

Ray tutorials from Anyscale

CNN_for_drone_detection_and_identification_using_RF

deep-delay-autoencoder

Discovers high dimensional models from 1D data using deep delay autoencoders

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

DQN_OSL

The code and the trained model for A Deep Q-Network for Robotic Odor/Gas Source Localization: Modeling, Measurement and Comparative Study

DroneAudioDataset

Kernel_DM_V

Gas distribution mapping using kernel DM + V algorithm

Langevin-dynamics

Sampling with gradient-based Markov Chain Monte Carlo approaches

Simple_localizer

mstaps1/CNN_for_drone_detection_and_identification_using_RF

mstaps1/DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

mstaps1/Langevin-dynamics

Sampling with gradient-based Markov Chain Monte Carlo approaches

mstaps1/Simple_localizer

mstaps1/academy

Ray tutorials from Anyscale

mstaps1/deep-delay-autoencoder

Discovers high dimensional models from 1D data using deep delay autoencoders

mstaps1/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

mstaps1/DQN_OSL

The code and the trained model for A Deep Q-Network for Robotic Odor/Gas Source Localization: Modeling, Measurement and Comparative Study

mstaps1/DroneAudioDataset

mstaps1/Kernel_DM_V

Gas distribution mapping using kernel DM + V algorithm

mstaps1/LPDM_Hseih

mstaps1/MCOTSK

This repository contains the source code to train the MCOTSK model for odor plume tracking.

mstaps1/MethaneDistributions

mstaps1/MetPy

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

mstaps1/practicesniffersim

mstaps1/PuffModel

mstaps1/Orebro3DSEN

Dataset and code of indoor gas dispersion experiments using a 3D grid of metal oxide semiconductor sensors

mstaps1/particles

Sequential Monte Carlo in python

mstaps1/Static-Sensor-Placement-Optimization