danielsnipes Goto Github PK
Name: Daniel Snipes
Type: User
Company: Apple
Bio: Sr. Data Scientist
Location: Cupertino, CA
Name: Daniel Snipes
Type: User
Company: Apple
Bio: Sr. Data Scientist
Location: Cupertino, CA
Minimal examples of data structures and algorithms in Python
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 ).
Detect Anomalies in a Univariate Unsupervised Time Series Muscle Movement Data .
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
A collection of various awesome lists for hackers, pentesters and security researchers
A curated list of awesome Python frameworks, libraries, software and resources
Recurrent Neural Network - A curated list of resources dedicated to RNN
Anomaly detection library with Python
A python tutorial on bayesian modeling techniques (PyMC3)
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: Bilateral Multi-Perspective Matching for Natural Language Sentences
Python module for creating development environments as Docker containers, similar to virtualenv.
Tutorial on change detection in time series data
Time series changepoint detection
A collection of resources for Recommender Systems (RecSys)
An Integrated Experimental Platform for time series data anomaly detection.
Dask Tutorial for PyData Seattle 2017
A list of free data matching and record linkage software.
Sample data science projects (machine learning, optimization, business intelligence)
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
End-to-End Deep Entity Resolution
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Donut is an anomaly detection algorithm for seasonal KPIs.
Collection of some algorithms for entity resolution
Implementing Siamese networks with a contrastive loss for similarity learning
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.