MLflow samples

Example of using scalatest and deequ from AWS Labs to unit test a Spark pipeline

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Accelerator to rapidly deploy customized features for your business

Automated Machine Learning on Databricks

A simple technique to integrate BERT from tf hub to keras

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

Dagster is an open-source system for building data applications.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

🦉Data Version Control | Git for Data & Models

State of the Art Natural Language Processing

🚚 Agile Data Science Workflows made easy with Pyspark

Open source platform for the machine learning lifecycle

Keras implementation of BERT with pre-trained weights

The Prefect Core workflow engine

Example of how to import python native modules into a Databricks Notebook

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

hanabi_learning_environment is a research platform for Hanabi experiments.

PyTorch source code of NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models"

📖 Kubernetes CheatSheets In A4

Python version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project.

A Spark library for Amazon SageMaker.

ArgoProj: Get stuff done with Kubernetes.

Apache Spark: Tips, Tricks, & Techniques [Video] Published by Packt