johann-ha

free-programming-books

:books: Freely available programming books

kinesis-sql

Kinesis Connector for Structured Streaming

spark_streaming_kinesis_demo

Demo code for sending data to a Kinesis stream & processing it with Spark

AWS_Tutorials

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

lambda-emr-example

https://medium.com/p/4fb71369ac48

serverless-data-analytics

CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries

spark

Apache Spark - A unified analytics engine for large-scale data processing

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

emr-launcher

Lambda based EMR Cluster Launcher

emr-scheduler

Repo to manage the emr cluster schedules using Lambda

AttnMeSH

Code for AttentionMeSH

ml-system-design-pattern

System design patterns for machine learning

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

deepdiff

DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.

biobert-pretrained

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

clinicalBERT

repository for Publicly Available Clinical BERT Embeddings

scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

miniwob-plusplus

MiniWoB++: a web interaction benchmark for reinforcement learning

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

mglearn

mglearn helper package for "Introduction to Machine Learning with Python"

lecture_cil_public

Public repository for CIL

DS_Production

web_page_classification

Deep learning algorithms for web page classification written in Tensorflow (Python).

web2text

Source code for the paper "Web2Text: Deep Structured Boilerplate Removal", full paper @ ECIR'18

examples

TensorFlow examples

ECCE

# ECCE: Enhanced Centroid-based Classification (ECC) Ensemble. Based on paper of Jebari: "Enhanced and combined centroid-based approach for multi-label genre classification of web pages."

Formasaurus

Formasaurus tells you the type of an HTML form and its fields using machine learning