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crosscompiling-paraview

Notes for cross compiling paraview on supercomputers

cs231n.github.io

Public facing notes page

csf

Airborne LiDAR filtering method based on Cloth Simulation.

csg.js

Constructive solid geometry on meshes using BSP trees in JavaScript

cspy

A Python package with a collection of algorithms for the (Resource) Constrained Shortest Path problem

cumulus

Cumulus Framework + Cumulus API

curl

Curl is a tool and libcurl is a library for transferring data with URL syntax, supporting FTP, FTPS, HTTP, HTTPS, GOPHER, TFTP, SCP, SFTP, TELNET, DICT, LDAP, LDAPS, FILE, IMAP, SMTP, POP3, RTSP and RTMP. libcurl offers a myriad of powerful features

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

czml-writer

A library for writing CZML content for use with Cesium.

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

d3-carto-map

A mapping API that uses D3 geospatial functionality

d3-cloud

Create word clouds in JavaScript.

d3py

a plottling library for python, based on D3

d3timeline

dacite

Simple creation of data classes from dictionaries.

dash

Interactive, reactive web apps in pure python :star:

dask

Task scheduling and blocked algorithms for parallel processing

data

A list of open data repositories or interesting data sets.

data_rep_c3d

A data representation and meshing utility for CORE3D deliverables.

datacube-dataset-config

Scripts for indexing data into ODC instances

datacube-explorer

Web-based exploration of Open Data Cube collections

dataset

Easy-to-use data handling for SQL data stores with support for CSV and JSON data export

datashader

Bin based rendering toolchain

datausa-api

API for accessing US data sets

debops

Your Debian-based data center in a box -

deck.gl

A WebGL overlay suite

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep-learning-with-pytorch-quick-start-guide

Deep Learning with PyTorch Quick Start Guide, published by Packt

deepaas

DEEP as a Service API for machine learning models