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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Repository with examples and smoke tests for the GCP Airflow operators and hooks
Automated Unittest Generation for Python
A curated list of awesome Machine Learning frameworks, libraries and software.
BSON-NumPy - A Python extension to convert between NumPy arrays and BSON
Lessons from my life as a Data Scientist
My projects related to data science and machine learning.
Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
An example that shows how to periodically launch a Dataflow analytics pipeline from GAE Flex, that reads from Datastore.
GraphPipe for python
GraphPipe helpers for TensorFlow
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
A curated list of applied machine learning and data science notebooks and libraries across different industries.
MongoDB Performance Measurement and Analytics
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
A log analysis toolkit for automated anomaly detection [ISSRE'16]
LSTMS for Predictive Maintenance
Anomaly Detection and Correlation library
Shop floor always have challenges. When the part fails at the end of line testing, shop floor manager instinctively retrace your steps to identify at what point you went wrong. Here, the ML based algorithm is closely monitoring the parts as they progress through the manufacturing processes. So that the defective parts can be intelligently identified. An i4.0 use case with machine learning.
Scripts used for articles published on Medium
Train a neural slack bot from your slack team's conversations.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
📚 Parameterize, execute, and analyze notebooks
A notebook tutorial series for performing predictive maintenance using machine learning
Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
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.