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aind-constraint_satisfaction

Constraint Satisfaction Problem lab to solve the N-Queens problem

aind-planning

aind-simulated_annealing

Jupyter notebook exercise to check your understanding of simulated annealing

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bayes-nn

Lecture notes on Bayesian deep learning

better-exceptions

Pretty and useful exceptions in Python, automatically.

bitmapist

Implements a powerful analytics library using Redis bitmaps (for Python).

brukva

Asynchronous Redis client that works within Tornado IO loop.

byoe

Build your own development environment

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

cerndeeplearningtutorial

Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN

chartseffectiveness

chronos

Fault tolerant job scheduler that handles dependencies and iso8601 based schedules.

cmake-examples

Useful CMake Examples

coursera-course-statistics_one

Statistics One offered by Andrew Conwa of Princeton University on Coursera

data-science-machine

db.py

db.py is an easier way to interact with your databases

dec

deepmining

Auto-tuning Machine Learning Pipelines

dumbo

Python module that allows one to easily write and run Hadoop programs.

emulator-py

eqpt

The Path to Nash Equilibrium

explorekit

glrm

image

interview-with-python

The ultimate in python interview preparation and coding practice.

json.sh

a pipeable JSON parser written in Bash

kaggle_microsoft_malware

code for kaggle competition Microsoft malware classification

klib

A standalone and lightweight C library

lectures

Oxford Deep NLP 2017 course