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algorithms

Minimal examples of data structures and algorithms in Python

anomaly

This is a non-trivial implementation of anomaly detection in time series as described in ( https://www.ll.mit.edu/mission/cybersec/publications/publication-files/full_papers/2012_08_05_Carter_IEEESSP_FP.pdf ).

anomaly-detection

Detect Anomalies in a Univariate Unsupervised Time Series Muscle Movement Data .

anomaly-detection-1

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

banpei

Anomaly detection library with Python

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-record-linkage

variations of the record linkage model of Steorts et al. AISTATS 2014's "SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication" http://arxiv.org/abs/1403.0211

bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

capsule

Python module for creating development environments as Docker containers, similar to virtualenv.

change-detection-tutorial

Tutorial on change detection in time series data

changepy

Time series changepoint detection

competitive-recsys

A collection of resources for Recommender Systems (RecSys)

computationalstatistics

curve

An Integrated Experimental Platform for time series data anomaly detection.

danielsnipes.github.io

dask-tutorial-pydata-seattle-2017

Dask Tutorial for PyData Seattle 2017

data-matching-software

A list of free data matching and record linkage software.

datascienceprojects

Sample data science projects (machine learning, optimization, business intelligence)

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deeper

End-to-End Deep Entity Resolution

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

donut

Donut is an anomaly detection algorithm for seasonal KPIs.

entity_resolution_spark

Collection of some algorithms for entity resolution

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼