joycezw Goto Github PK

acp_physical

Physical climate projection code for Houser et al., (2015) and Rasmussen et al. (2016)

angular-cli

CLI tool for Angular

anuga_core

AnuGA for the simulation of the shallow water equation

appearance-flow

A deep learning framework for synthesizing novel views of objects and scenes

archive-tools

Scripts for downloading and searching data (ALOS-2, Sentinel-1, TerraSAR-X)

arcpy

Python Tools for Use in ArcGIS 10.2

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bayespy

Bayesian Python: Bayesian inference tools for Python

buildingdetectors

Winning building footprint detector implementations from the SpaceNet challenges.

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

caesar-lisflood

The modified version of the Caesar-Lisflood model I used during my phd work: numerical modelling of river catchment hydrogeomorphological sensitivity to spatial variability in rainfall

caesarplotlib

A python toolbox for preparing input data and plotting output data from the CAESAR-Lisflood landscape evolution model and its derivative models.

cchmapclustercontroller

High-performance map clustering with MapKit for iOS and OS X. Integrate with 4 lines of code.

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

climate-dl

Unsupervised and Semisupervised Learning Approaches to High Dimensional Climate Simulations

cnn-energy-model

A Theano implementation of a CNN DSEBM (deep structured energy-based model) described in https://arxiv.org/pdf/1605.07717v2.pdf

coastalmodeling

Scripts for working with ADCIRC files

computational-physics-and-machine-learning-reading-list

A list of papers relating Computational Physics and Machine Learning

convoca

Predict and analyze cellular automata using convolutional neural networks

crisismappingtoolkit

NASA Ames Crisis Mapping Toolkit

darknet

Convolutional Neural Networks

data-utils

deep-forecast

The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning-timeseries

Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]

deeplearningimplementations

Implementation of recent Deep Learning papers

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeposm

Train a deep learning net with OpenStreetMap features and satellite imagery.