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a high-performance, POSIX-ish Amazon S3 file system written in Go
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
State of the Art Natural Language Processing
A platform for community discussion. Free, open, simple.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
johnl8888 / hcc_risk_models
Forked from galtay/hcc_risk_modelsHierarchical Condition Category (HCC) Risk Models from the Centers for Medicare and Medicaid Services (CMS) and the Department of Health and Human Services (HHS)
Bosch Kaggle competion: Reduce manufacturing failures (https://www.kaggle.com/c/bosch-production-line-performance)
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
This code downloads end of day stock quote from Yahoo finance.
A scalable machine learning library on Apache Spark
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Neural style in TensorFlow! 🎨
TensorFlow-based neural network library
Optimus is a mathematical programming library for Scala.
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
Simple AngularJS Boilerplate to kick start your new project with SASS support and Gulp watch/build tasks
📡 iBeacon support for React Native
Bayesian Data Analysis demos for Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
The official home of the Presto distributed SQL query engine for big data
Faker is a Python package that generates fake data for you.
ggplot2 theme that mimics themes of fivethirtyeight.com plots
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml