maverik-akagami Goto Github PK
Name: Sachet Misra
Type: User
Bio: Introverted Data Scientist
Location: San Francisco Bay Area
Name: Sachet Misra
Type: User
Bio: Introverted Data Scientist
Location: San Francisco Bay Area
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! 😀)
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome ETL frameworks, libraries, and software.
A curated list of awesome Machine Learning frameworks, libraries and software.
Recurrent Neural Network - A curated list of resources dedicated to RNN
workshop on data viz for the Chicago Data Learnathon
CityDigital - basics of coding
Convolutional Neural Networks - first trial
fast.ai Courses
FIRST
Main course repository for CS585: NLP at IIT
CSS library for Instagram filters
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Open Source Data Science Resources.
MIT Deep Learning Book in PDF format
Deep learning in Python
Notebooks for learning deep learning
Library for fast text representation and classification.
this is a guide to my final year project in my undergrad
:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
Python Data. Leaflet.js Maps.
Free resources for learning data science
GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be correct. GAIL is created, developed, and maintained by Fred Hickernell (Illinois Institute of Technology), Sou-Cheng Choi (University of Chicago and Argonne National Laboratory), and their collaborators including Yuhan Ding (IIT), Lan Jiang (IIT), and Yizhi Zhang (IIT).
Mirror of Apache Hadoop
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
HiBench is a big data benchmark suite.
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.