Sebastian Tranæus's repositories
blockchain
A simple Blockchain in Python
Data-Science-For-Political-And-Social-Phenomena
A site and book project on using data science techniques for political and social phenomena.
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.
docker-stacks
Opinionated stacks of ready-to-run Jupyter applications in Docker.
election_day_2016_twitter
Tweets from election day 2016
fluent_python
Notes from Luciano Ramalho's book "Fluent Python"
Face-Recognizer
A Face Recognition system that works in real time!
face_recognition
The world's simplest facial recognition api for Python and the command line
Kings-Data-Structures
Revision exercises, and Java implementations of ADTs for DST
LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
movies-python-bolt
Neo4j Example application with flask backend using the neo4j-python-driver
nyc-citibike-data
NYC Citi Bike system data and analysis
ppa-simulatoris
PPA Assignment 3
python-mastery
Advanced Python Mastery (course by @dabeaz)
sample-app
Sample application written in Go
TrumpSentimentTracker
The Trump Sentiment Tracker uses real-time twitter data to determine the public's current perception of President Donald Trump. The web application streams all tweets containing the word 'Trump' within the last ten minutes of being launched. The tweets are then put through sentiment analysis in order to determine how postitive or negative they are. Lastly, the sentiment scores are averaged and reported to you using the visualization seen above. For best results, keep this tab open for a few minutes and then check it out.