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2015

Public material for CS109

2015lab1

abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

ajax_practice

ajaxsite

algs4part1-class

Coursera's Algorithms Part 1 assignments

autonomousdriving

A few projects towards gaining knowledge of developing autonomous vehicles using Computer Vision and Deep Learning.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

bigdata-spark

BerkeleyX: CS100.1x, Introduction to Big Data with Apache Spark

calenderday

Get the day of the week from any date.

carnd-capstone

carnd-mpc-project

Implementation of Model Predictive Control to autonomously navigate a vehicle.

carnd-path-planning

Build a path planner that creates smooth and safe trajectories for the car to follow.

carnd-pid-control-project

Determining the steering angle of an autonomous vehicle using the concepts of PID controllers.

carnd-semantic-segmentation

In this project, we label the pixels of a road in images using a Fully Convolutional Network (FCN).

clrs

Solutions to "Introduction to Algorithms" by Cormen, Leiserson, Rivest, Stein (CLRS)

coldknight.github.io

Build a Jekyll blog in minutes, without touching the command line.

concertmarker

course-data-structures-measuring-and-optimizing-performance

Data structures: Measuring and Optimizing Performance

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

coursework

summer school coursework

create-your-own-adventure

ctci

Cracking the Coding Interview, 5th Edition

cuda-cs344

My solutions to Udacity's Parallel Programming course (CS 344)

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.

datasharing

The Leek group guide to data sharing

deepbench

Benchmarking Deep Learning operations on different hardware