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A distributed machine learning framework.
A little library for text analysis with RNNs.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Pretty Tensor: Fluent Networks in TensorFlow
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 ;)
a fake project from snazz2001
Protocol Buffers - Google's data interchange format
Glove applied to Pubmed Central BioC Corpus
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
My scrapers, data and analysis for PyCon Canada 2015 Keynote
Machine learning with scikit-learn tutorial at PyData Chicago 2016
Pydata NYC 2014 Scikit Learn Tutorial
Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
Materials for my pandas tutorial at PyData 2014, NYC
PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
PyDataLondonTutorial
"Analyzing Satellite Images With Python Scientific Stack" by Milos Miljkovic
PyData NYC 2015 conference
Python toolbox for manifold optimization with support for automatic differentiation
Markov Decision Process (MDP) Toolbox for Python
Fast, memory efficient and configurable python based Naive Bayes classifier.
https://www.udemy.com/python-for-finance-and-trading-algorithms/
Python Machine Learning code repository
The "Python Machine Learning (2nd edition)" book code repository and info resource
This is an implementation of a fully connected neural network in NumPy. The network is trained by backpropagation and developed with PYPY in mind.
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Supplemental materials for my OReilly project, the Python Data Science Handbook
Curated decibans of scientific programming resources in Python.
Rapid research framework for PyTorch. The researcher's version of Keras
tutorial for researchers to learn deep learning with pytorch.
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.