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anykernel

AnyKernel is a template for an update.zip that can apply any kernel to any ROM, regardless of ramdisk.

blogs-by-experts

A curated list of blogs written by eloquent experts, organized by field.

browsecups

Automatically add all CUPS shared printers to a Mac OS X system.

chess

Chess game for CIS 120

cis520-finalproject

community-detection

MATLAB implementations of spectral community detection algorithms

conan-center-index

Recipes for the ConanCenter repository

densenet-tensorflow

An implementation of DenseNets in TensorFlow

distributed

A distributed task scheduler for Dask

dotfiles

My general configuration

furry-octo-lana

Look at https://github.com/VanirAOSP/PopcornKernel-Tuna for the latest source

graphene_antidots

Simulation of Graphene Antidot Lattices

graphene_coordinates

Tool to generate a list of atomic coordinates of graphene, with the options to have different orientations (zigzag or armchair) or to have user defined antidots cut into it

machinelearning-notes

Notes from Professor Michael Kearns' CIS 625 course on Computational Learning Theory - by @jtcho, me, and @bradyneal

mutmut

Mutation testing system

neural_network

My first shot at a Neural Network

pennapps-2016f

popcorn_scripts

popcornkernel-tuna

Look at https://github.com/VanirAOSP/PopcornKernel-Tuna for the latest Gnex PopcornKernel

popcornkernel_app

pythonprimer

An interactive Jupyter notebook showcasing the key features of Python. Useful for review or for quickly ramping up with Python!

recommendationengine

Graph Toolkit and Recommendation Engine

spectrum

tensor-flow-on-google-compute-engine

A simple script to set up GCE environment in Google Cloud so it is ready to run TensorFlow - an Open Source Software Library for Machine Intelligence

tensorflow-deeplearning-recitation

Jupyter Notebook for a "Deep Learning with TensorFlow" recitation

tuna-feather-kernel

A kernel for the galaxy nexus based off of the GNU/Linux kernel. (as opposed to samsung's kernel)

udacity-deeplearning

iPython notebooks from the Udacity Deep Learning course