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Reminder to myself

  • source branch: holds the content created/edited/updated by me.
  • master branch: holds the content generated by deploy script.
  • Run bin/deploy --user to deploy the generated pages to master branch.
  • Manually run git push origin source to ensure source branch is up-to-date with my local copy.
  • When I need to update any content-
    • run appropriate git add/rm [filepath] command,
    • followed by, commit message,
    • followed by, git push origin source command,
    • followed by, bin/deploy --user

Naheed's Projects

advancedml icon advancedml

Reading list for the Advanced Machine Learning Course

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

airfoil-gcnn icon airfoil-gcnn

Graph Convolutional Networks for Unstructured Flow Fields

aleph icon aleph

A library for exploring persistent homology

awesome-cpp icon awesome-cpp

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

buku icon buku

Powerful command-line bookmark manager. Your mini web!

cecher icon cecher

Cecher: efficient computation of Čech persistence barcodes

cechmate icon cechmate

Persistence Diagrams for Custom Filtrations Wrapping around Phat (The Persistent Homology Algorithms Toolbox)

cmake icon cmake

C++ project structure with Google Test (gtest) example using CMake as build system.

cmake-cpp icon cmake-cpp

Example code for using CMake for a C++ project

course icon course

Source code for the applications presented in the course "Geometry Processing with Discrete Exterior Calculus"

cs344 icon cs344

Introduction to Parallel Programming class code

cyclonysus icon cyclonysus

Easy representative cycles builder for Dionysus

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-flow-prediction icon deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

difftda icon difftda

Persistence differentiation with Gudhi and Tensorflow

dipha icon dipha

Automatically exported from code.google.com/p/dipha

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