Akshay Tondak's Projects
Michael Cade 100DaysOfCloud
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
With AcceleratedML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
A collection of Python Packages for AI usecases
Official Azure Reference Architectures for AI workloads
My personal repository
Config files for my GitHub profile.
This repository contains some Azure CLI commands as well as links to official Microsoft documentation
This repository contains some Azure Data Engineering hand written notes
This repository contains some azure solutions architect expert exam [az-305] prep resources
Azure Data Studio is a data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.
Learn how you can plan smartly, collaborate better, and ship faster with a set of modern development services with Azure DevOps.
Learn some of our favorite Azure tips and tricksโsome long-standing, and new ones that have recently been added to become more productive with Azure. Star the repo now to shave hours off your coding tasks tomorrow.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
An open source indexing subsystem that brings index-based query acceleration to Apache Sparkโข and big data workloads.
Hands on labs and content for students and educators to learn and teach the Internet of Things at schools, universities, coding clubs, community colleges and bootcamps
Code base for the Learning PySpark book (in preparation)
:closed_book:machine learning tech collections at Microsoft and subsidiaries.
Microsoft Cloud Workshop Project
MCW App modernization
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
ML model compiler for Cortex-M4F
MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Microsoft Machine Learning for Apache Spark