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100-days-of-ml-code

100 Days of ML Coding

15-minute-apps

15 minute (small) desktop apps built with PyQt

2016-08-ufba-mapping

2016-08 UFBA Python Mapping

algal-bloom

ascidian

2D wind driven ocean circulation wave model

band-adjustment

Spectral Band Adjustments for Remote Sensing Reflectance Spectra in Coastal/Inland Waters

bayesmadesimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

biomet

Machine Learning techniques on Eddy Covariance Flux tower, CIMIS, MODIS, and Landsat data

charlesscripts

My awesome scripts for Arch Linux or Ubuntu Gnome latest LTS.

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

convolutional_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

courses

Python courses for the scientific researcher

cv_resume

A latex cv/resume template.

cyanobacteriabloom

2-D modeling of cyanobacteria blooms over time

cyanobacteriapopulationandcellularmodels

An example of Synthetic and Executable Biology applied to three species of Cyanobacteria.

data_visualization

A collection of my data visualizations, mostly in Python.

dhi-toolbox

Tools to manipulate DHI MIKE21 data.

dlut-beamer-slide-v1

一份简约现代的beamer模板/PPT杀手/学术范入门/大连理工大学beamer

draw_convnet

eddy

A graphical editor for the specification and visualization of Graphol ontologies

environmental_intelligence

Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and the tracking of UN's Sustainable Development Goals

fancywidgets

a bunch of fancy Qt widgets that are also usable in QtDesigner

forecastveg

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health

gcmapexplorer

Genome Contact Map Explorer - gcMapExplorer. Visit:

gistasksheets

Repository for GIS task sheet code

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

keras-idiomatic-programmer

Handbooks, Code Samples, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework