Jan Zikes's repositories
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
smart_open
Utils for streaming large files (S3, HDFS, gzip, bz2...)
airflow
Airflow is a system to programmatically author, schedule and monitor data pipelines.
elasticsearch-dsl-py
High level Python client for Elasticsearch
scikit-learn
scikit-learn: machine learning in Python
dmoz-parser
Dmoz RDF parser
spark
Mirror of Apache Spark
sqlitedict
Persistent dict, backed up by sqlite3 and pickle, multithread-safe.
ATHENS_text_recognition
Team project for the ATHENS image processing course at Telecom ParisTech, dealing with the text recognition from the Google street view pictures.
tf-idf-Hadoop-MapReduce
Project from the CTU Big Data course which purpose was to compute tf-idf values for the czech wikipedia
RailwayStationFormalization
Coursework from CTU. The program generates the formalism of the railway station in the 1st order logic (TPTP format) for the provers and model checkers
ClusterAnalyzer
The last mini assignment to the Big Data course at the CTU. It just finds k most important words per cluster and l most similar documents to the mean of the cluster.
Kmeans-hadoop-mapreduce
Implementation of the Kmeans algorithm for the Hadoop MapReduce framework.
storm-demo
Demo topologies for Apache Storm.
Kaggle-data-science-london-scikit-learn
My approach to the competition Data Science London + Scikit-learn at Kaggle
Diploma-Thesis-A1
Initial version A1 of my diploma thesis dealing with the organization of shared vehicles.
glass-plane-spot
Plane spot application for Google Glass
Plane-Spotting
Side project working with flightradar24 API. Goal is to make an augmented reality app.
Machine-Learning-Big-Data-Hackathon
Methods that were used to predict stock prices based on the sentimet mined from tweets
Project-for-statistical-methods-in-CS
Project for statmet course at KTH. Implemented MCMC method to solve the train problem that estimates the probability of train being in the node given the railroad model and switches.
reinforcement-learning
Assignment on reinforcement learning from machine learning course at KTH
svm
Assignment on support vector machines from machine learning course at KTH
decision-trees
Assignment on decision trees from machine learning course at KTH
KTH-last-minute-accommodation-hacking
Python script created in order to hack (win) the last minute accommodation from KTH in Stockholm.
DistributedAIHomework
Homeworks from the Distributed Artificial Intelligence and Distributed Agents course at KTH. Generally speaking assignment is about implementing basic agents behaviors using jade library.
bayesboost
KTH machine learning course assignment. Application of the adaboost method to the bayesian classifier with goal to remove object from picture.
bachelor_thesis
Something from my bachelor thesis dealing with the dynamic pricesetting