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Developer Profile

sprig

Discovered public repositories for sprig in the GitHub catalog.

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sprig/dstk

A collection of the best open data sets and open-source tools for data science

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sprig/crypton

A framework for creating zero-knowledge web applications

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sprig/grizzled-python

The Python Grizzled Utility Library. Full API docs are available at the Grizzled web site. (See below.)

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sprig/connectbot

Enhanced version of the popular ConnectBot SSH and telnet client

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sprig/pdfocr

Adds text to PDF files using the cuneiform OCR software

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sprig/tmuxifier

Tmuxify your Tmux. Powerful session, window & pane management for Tmux.

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sprig/PyPagekite

Python implementation of the PageKite remote front-end protocols.

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sprig/feedgnuplot

Tool to plot realtime and stored data from the commandline, using gnuplot. This is the repo for 'feedgnuplot' on CPAN: http://search.cpan.org/~dkogan/feedgnuplot/bin/feedgnuplot.pod

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sprig/edit-server

an edit server compatible with TextAid and "Edit with Emacs" chrome extensions

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sprig/pawk

PAWK - A Python line processor (like AWK)

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sprig/galry

High-performance interactive visualization in Python

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sprig/dropship

Instantly transfer files between Dropbox accounts using only their hashes.

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sprig/gist.sh

Bash shell script for getting/posting code snippets (gists) from/to https://gist.github.com

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sprig/book

A textbook on informal homotopy type theory

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sprig/html5-boilerplate

A professional front-end template for building fast, robust, and adaptable web apps or sites.

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sprig/opencl-hello-world

This is my Hello World application for OpenCL, using the LWJGL framework to handle the native calls. It is actually more of a "Hello Solar System" as it does a few things. First, it polls all platforms and devices and lists basic stats about your system. Second, it performs a vector addition. The kernel is loaded from a resource file, rather than the usual hard-coding you see in many examples. This project uses Gradle. See the README for instructions on how to run this.

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sprig/cl-opengl

cl-opengl is a set of CFFI bindings to the OpenGL, GLU and GLUT APIs.

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sprig/gpgpu-neuralnet

An OpenCL neural network implementation in Python. Uses massively parallel GPU computations to train and test neural network. Uses PyOpenCL as wrapper around OpenCL. Tight integration with NumPy. Tags: python, pyopencl, gpgpu, neural network, gpu computations, opencl, numpy

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sprig/mlcheatsheet

Machine Learning cheat sheet for linear classifiers and clustering algorithms

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