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Name: Khilesh Chauhan
Type: User
Name: Khilesh Chauhan
Type: User
Machine Learning University: Accelerated Tabular Data Class
A serverless framework to accelerate the development of applications that discover next-generation insights in your video, audio, text, and image resources by utilizing AWS Machine Learning and Media services.
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.
This workshop shows how you can use an IP-based machine learning algorithm with Amazon SageMaker to augment and enrich findings from AWS Security services such as Amazon GuardDuty. You'll learn how to load the notebook in SageMaker, train the model, and score findings to determine abnormality of the activity.
This sample application can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics
How to become a certified AWS Solutions Architect
Deliver Pinpoint Campaigns Driven by Machine Learning on AWS SageMaker
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
Rewrite-js transformation module to map AWS Lambda functions into Google Functions.
Azure Data Factory Cookbook, published by Packt
A React Component library implementing the Base design language
Library that helps in instrumenting battery related system metrics.
Bayesian Analysis with Python - Second Edition, published by Packt
Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
Explore the power of cloud services for your machine learning and artificial intelligence projects
Anubis (formerly known as Benchmark AI), measures the goodness of machine learning workloads
Combine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning
Combine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds. If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
Demonstrating best practices for bioinformatics command line tools
Bistro is a flexible distributed scheduler, a high-performance framework supporting multiple paradigms while retaining ease of configuration, management, and monitoring.
A basic blast pipeline using nextflow
Demo of blastn tool for bioinformatics
Container for blastn and Jupyter notebook
A command line utility for stitching modular Markdown docs into into a unified, hostable web-app.
e-books in PDF and ePub formats across a wide range of technology stacks and topics
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.