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pflashgary's Projects

adversarial_video_generation icon adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

biof509 icon biof509

Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health

convnet-oop icon convnet-oop

ConvNet Implementation: An Object Oriented Approach using Keras API.

cookiecutter icon cookiecutter

A command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, VueJS projects.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fffs icon fffs

Fast Forward Features Selection

fog-forecast icon fog-forecast

Climatologically-calibrated probabilistic fog for aerodromes

fognet icon fognet

Fog Prediction using 3D CNN with dense block and attention

gantt-chart icon gantt-chart

A Rust program to convert a table of connected features and sub-features to a JSON representation. The table contains information such as parent-child relationships, start and end dates, feature/module names, progress status, and assigned team members.

geosparkscalasample icon geosparkscalasample

A minimal sample project which shows how to use geoSpark http://geospark.datasyslab.org/ with WKT in scala

geowave icon geowave

GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.

go-tsne icon go-tsne

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

hko-7 icon hko-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

phenology-extraction icon phenology-extraction

A repository folder regarding phenology extraction scripts utilizing existing packages (i.e. TIMESAT, CropPhenology) and proposing new methodologies

phenolopy icon phenolopy

Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.

rust-learnings icon rust-learnings

Our program aims to convert the components of a Gannt diagram into a JSON representation. This allows for the data to be more easily accessible and processed for further analysis and use.

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