mathusuthan Goto Github PK
Name: Mathusuthan Kannan
Type: User
Twitter: mathusuthan
Blog: https://mathusuthan.com
Name: Mathusuthan Kannan
Type: User
Twitter: mathusuthan
Blog: https://mathusuthan.com
Data Science Cheat Sheets
Course repo for Applied Natural Language Processing (Spring 2019)
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Full Stack Deep Learning Course
Codes and notes from UCSD's Data Structures and Algorithms Specialization on Coursera
Coursera Reinforcement Learning Specialization by by University of Alberta & Alberta Machine Intelligence Institute
My solutions to the problem sets of Stanford cs229, 2018
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Tensorflow implementation of Amazon DeepAR
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
List of DL Topics and resources essential for cracking interviews
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
NLP made easy
Thanks to lirenTu@scale
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
Contents for my site https://mathusuthan.com
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Code Samples from Neural Networks for NLP
Code to compute permutation and drop-column importances in Python scikit-learn random forests
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Functional Programs in Scala
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.