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Name: Naman Jain
Type: User
Bio: Lead Data Engineer building enterprise-grade Big Data platforms via Scala Spark in Azure Cloud for Fortune 100 clients
Name: Naman Jain
Type: User
Bio: Lead Data Engineer building enterprise-grade Big Data platforms via Scala Spark in Azure Cloud for Fortune 100 clients
A curated list of awesome Deep Learning tutorials, projects and communities.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
A python tutorial on bayesian modeling techniques (PYMC3)
A Scala Play App that filteres and visualizes BTC data that's dynamically fetched via a Coinbase API
fast.ai Courses
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Notes and experiments to understand deep learning concepts
Repository for the PyData DC 2016 tutorial
Example demonstrating how gradient descent may be used to solve a linear regression problem
Proxying Python Requests
A collection of data science IPython notebooks with Plotly graphs
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Repository for all spatial data.
Imbalanced Class Classifier, Constrained Optimization, and Time Series Forecasting
Supporting code for short YouTube series Neural Networks Demystified.
An introduction to neural networks, building up from linear regression...
Our final project for CSE 3901
This is the code for the SF Python meetup group tutorial on reinforcement learning
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
phData Pulse application log aggregation and monitoring
PyData San Francisco 2016 - ARIMA Tutorial
Jupyter Notebooks for the Python Data Science Handbook
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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.