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Tushar Kale's Projects

1st-edition icon 1st-edition

Source Code Collection and Supplemental Material for the O'Reilly Snowflake Definitive Guide 1st Edition book

30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

abris icon abris

Avro SerDe for Apache Spark structured APIs.

ace_azure_ml icon ace_azure_ml

This repository contains training material related to Azure and Machine Learning

amazon-redshift-utils icon amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

aml-template icon aml-template

This is a template used for setting up a machine learning project running on Azure Machine Learning

apparate icon apparate

Make your libraries magically appear in Databricks.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

armdeploy icon armdeploy

The old ARM deployment files Microsoft used to provide

atum icon atum

A dynamic data completeness and accuracy library at enterprise scale for Apache Spark

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-ai-ml-dl icon awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

aws-cdk icon aws-cdk

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

aws-lambda-go icon aws-lambda-go

Libraries, samples and tools to help Go developers develop AWS Lambda functions.

aws-lambda-power-tuning icon aws-lambda-power-tuning

AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.

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