vhmaheshp's repositories
100DaysofCloud
I am utilizing this repository to document my journey in learning about Cloud Computing with Microsoft Azure. I commenced this process on January 15, 2024. During this period, I am dedicating one hour to one & half year each day, including weekends, to gain a foundational understanding of various aspects of Cloud.
AI-900-AIFundamentals
Includes labs for AI Fundamentals.
AZ-104-MicrosoftAzureAdministrator
AZ-104 Microsoft Azure Administrator
AZ500-AzureSecurityTechnologies
Microsoft Azure Security Technologies
learn-All-Courses
Microsoft Learn: Cloud & AI Training Content
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
AZ-204-DevelopingSolutionsforMicrosoftAzure
AZ-204: Developing solutions for Microsoft Azure
Azure-Synapse-Retail-Recommender-Solution-Accelerator
This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging Azure Synapse Analytics, Azure Cosmos DB, Azure Machine Learning Services, Azure Data Lake Storage
beginner-tensorflowjs-examples-in-javascript
For anyone who knows a bit of Javascript and wants to know some Machine Learning
chat_analyser
Analyze your whatsapp chats using this chat analyzer!
dp-203-azure-data-engineer
Exercise files for Microsoft Data Engineer curriculum
genAI-llama
Inference code for LLaMA models
GenAI-LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Mallet
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
Microsoft-Azure-AZ-900-Microsoft-Azure-Fundamentals-Practice-Tests-Exams-Questions-Answers
⛳️ PASS: Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
mslearn-fabric
This repository hosts content related to Microsoft Fabric content on Microsoft Learn.
mslearn-generative-ai
Exercises for generative AI modules on Microsoft Learn
obs-studio
OBS Studio - Free and open source software for live streaming and screen recording
parcel
The zero configuration build tool for the web. 📦🚀
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
react-kanban
react-kanban
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
SmartHotel360-Website
SmartHotel360 Webiste
spark
Apache Spark - A unified analytics engine for large-scale data processing
sql-server-samples
Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge
xr-development-for-beginners
Spatial Computing Cloud Advocacy Curriculum