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Name: Michael
Type: User
Bio: Data Scientist
Location: New York
Name: Michael
Type: User
Bio: Data Scientist
Location: New York
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Fast and flexible AutoML with learning guarantees.
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Customer Due Diligence - Automated Google Web Scraping for Negative News
Using a financial dataset with real anonymized transactions to highlight suspicious activity using machine learning
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
accessible AutoML for deep learning.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets. PR ☛☛☛
A set of resources on various topics (in the spirit of awseome-lists)
DeepRacer workshop content
In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
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.
A collection of the latest AWS Security workshops
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
TensorFlow code and pre-trained models for BERT
Analysis of Medicare spending by County
Resources for Oreilly's "Cracking the Data Science Interview" video series.
Start a cluster in EC2 for dask.distributed
Workshop and sample code that builders can use for experiential learning of AWS services that provide data protection. Services such as AWS KMS, AWS ACM, AWS CloudHSM and others will be explored
Database Week at the AWS Loft
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
A paper list of object detection using deep learning.
Motion imitation with deep reinforcement learning.
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.