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land_use_cnn

Classification in Remote Sensing Optical Images by CNNs

landsurfaceclustering

Land surface classification using remote sensing data with unsupervised machine learning (k-means).

landuse

about land use documents

landuse-1

Land use determination and urbanization over time from landsat images

large-scale-clustering

Image clustering using k-means and coresets in MapReduce.

lavendar

The Land Variational Ensemble Data Assimilation fRamework (LaVEnDAR) implements the method of Four-Dimensional Ensemble Variational data assimilation for land surface models.

lc8_download

Utility to download Landsat imagery from AWS or Google Earth Engine servers

lcmap_tap

learn-to-select-data

Code for Learning to select data for transfer learning with Bayesian Optimization

lee-2013

* An optimized parallel LSQR algorithm for seismic tomography, En-Jui Lee, He Huang, John M. Dennis, Po Chen, Liqiang Wang

lee-gradinv-filters

This project implements Lee and Gradient-inverse filters which are used in image processing applications. It is a Matlab project completed towards the fulfilment of Satellite Image Processing project in the institute.

lfmc_from_sar

Map live fuel moisture using remote sensing and deep learning

libspatialindex

C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API

limes

Link Discovery Framework for Metric Spaces.

lisa

fast cluster analysis of (binary) remote sensing images (~30m)

lisf

Land Information System Framework

logisland

Complex event processing & patterns mining at scale

lov

Linked Open Vocabularies (LOV) - FrontEnd

lowrankmatrixdecompositioncodes

RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.

lsdmappingtools

Some tools for manipulating and visualizing raster and vector data using python. See code generated documentation at the readthedocs website. For installation and usage instructions (warning: this is under construction) go here: https://lsdtopotools.github.io/LSDTT_documentation/LSDTT_visualisation.html

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

lstm-ecg-wave-anomaly-detect

lucy-mpi

ENEL428 project 3. Looks at the use of MPI and OMP to distribute a Richardson-Lucy deconvolution being performed on 10 million images on a cluster

machine-learning-without-libraries

K-Means Clustering is a Machine Learning technique used in unsupervised learning. I wrote this algorithm without using any Machine Learning Libraries such as scikit-learn etc.

machinelearning

Basic MachineLearning algorithm

machinelearning-landuse

madplotlib

A C++ wrapper of Qt Charts that looks, tastes and smells like matplotlib but isn't.

magenta

Magenta: Music and Art Generation with Machine Intelligence

manutdzou.github.io

mapbox-gl-js

Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL