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Name: Chalamayya
Type: User
Name: Chalamayya
Type: User
GenAI training
Collected opinions and advice for academic programs focused on data science skills.
Implementation of different algorithms for computing the Edit distance of protein sequences
This is part of the Artificial Intelligence live course, hosted by Packtpub. In this repository, you can find information to build your environment and the files of the coding exercises that will be covered during the live session.
AI OpenScale tutorials including sample models, notebooks and applications
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Amazon Kinesis Client Library for Python
A UI that simplifies testing with Amazon Kinesis Streams and Firehose. Create and save record templates, and easily send data to Amazon Kinesis.
Materials for a 2-day instructor led course on applying machine learning
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Repository for the Amundsen project
Cut and paste your surroundings using AR
AutoGluon: AutoML Toolkit for Deep Learning
Resources related to causality
A data index for learning causality.
Paper Lists for Graph Neural Networks
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of references for MLOps
:bar_chart: Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking
Reinforcement learning resources curated
Universal Command Line Interface for Amazon Web Services
Utility belt to handle data on AWS.
DeepRacer workshop content
A sample AWS Lambda function that accepts messages from an Amazon Kinesis Stream and transfers the messages to another data transport.
As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.
Build a data transformation workload on AWS, orchestrated by AWS Step Functions and running over AWS Batch with Spot instances
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Banana for Solr - A Port of Kibana
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.