prasadseemakurthi Goto Github PK
Type: User
Type: User
Active Learning Workshop Materials
Examples of advanced Python programming techniques
My algorithmic design paradigms book!
Course repo for Applied Natural Language Processing (Spring 2019)
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! 😀)
Assignments for COGS 108.
Atmospheric chemistry data and analysis
Automated feature engineering in Python with feature tools
An educational project on how to build data-driven apps with Jupyter, Python, Spark, and some frontend magic.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
Pytorch solutions for UC Berkeley's cs285 assignments
A curated list of blogs written by eloquent experts, organized by field.
Boston Crime analytics using 2012 to 2015 data
Data Analytics, Statistics, Visualization (R / Python)
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Resources for STA 633 class
Best Practices, code samples, and documentation for Computer Vision.
Learn to use https://concourse.ci with this linear sequence of tutorials. Learn each concept that builds on the previous concept.
Course notes for CS224N Winter17
Course notes for CS228: Probabilistic Graphical Models.
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.