mohanpilla Goto Github PK

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

airflow-gcp-examples

Repository with examples and smoke tests for the GCP Airflow operators and hooks

auger

Automated Unittest Generation for Python

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bson-numpy

BSON-NumPy - A Python extension to convert between NumPy arrays and BSON

chat-room

cohort_online_retail

data-scientist-ish

Lessons from my life as a Data Scientist

dataflow-prediction-example

datascience

My projects related to data science and machine learning.

deploy-ml-model

Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

gae-dataflow

An example that shows how to periodically launch a Dataflow analytics pipeline from GAE Flex, that reads from Datastore.

graphpipe-py

GraphPipe for python

graphpipe-tf-py

GraphPipe helpers for TensorFlow

hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

incremental-logistic-regression

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

keyhole

MongoDB Performance Measurement and Analytics

kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

lstms_for_predictive_maintenance

LSTMS for Predictive Maintenance

luminol

Anomaly Detection and Correlation library

manufacturing_line-i4.0

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.

medium_articles

Scripts used for articles published on Medium

neural-slack-bot

Train a neural slack bot from your slack team's conversations.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

papermill

📚 Parameterize, execute, and analyze notebooks

predictive-maintenance

A notebook tutorial series for performing predictive maintenance using machine learning

predictive-maintenance-1

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)