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Name: Sudhakar Tripathi
Type: User
Location: India
Name: Sudhakar Tripathi
Type: User
Location: India
Sharpen your skills with 100 short data problems, ranging from very easy to super tricky (43% complete)
MIT Coursework
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
Shiny tips & tricks for improving your apps and solving common problems
Anatomy of Matplotlib Tutorial originally developed for SciPy 2013
A collection of notebook to learn the Applied Predictive Modeling using Python.
:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/
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! 😀)
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
Source Code for the book Building Machine Learning Systems with Python
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Dual LSTM Encoder for Dialog Response Generation
Lectures for Udemy - Complete Python Bootcamp Course
Repo for coursera specialization Applied Data Science with Python by University of Michigan
Data Mining - University of Illinois at Urbana-Champaign
IPython notebook solutions for University of Washington's Classification course of the Machine Learning specialization in Coursera
IPython notebook solutions for University of Washington's Regression course of the Machine Learning specialization in Coursera
University of Washington
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
GA Data Science NYC #23
General Assembly's Data Science course in Washington, DC
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes
Assets for data8.org
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
common data analysis and machine learning tasks using python
a curated list of R tutorials for Data Science, NLP and Machine Learning
An experimental Pytorch implementation of Deep Bilinear Pooling for Blind Image Quality Assessment
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.