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Bio: "Machine-Learning", Python, Statistical models, BioPhysics - University of California Berkeley BioPhysics - PhD - Texas A&M University
Location: San Francisco, CA
Type: User
Bio: "Machine-Learning", Python, Statistical models, BioPhysics - University of California Berkeley BioPhysics - PhD - Texas A&M University
Location: San Francisco, CA
Accord: A sane validation library for Scala
Synthetic Fork of Larry's recipes
The hackable text editor
Efficiently computes derivatives of numpy code.
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
An easy, HTML5, whitelisting HTML sanitizer.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.
Example projects using Django Channels
General Assembly repo for Data Science 18
This contains the deep-learning Conda environment file for Tensorflow with Keras, Opencv and etc for windows and Linux
This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube
Neural networks for monitoring cardiac data
Codes for weekly challenges on Deep Learning by Siraj
MIT Deep Learning Book in PDF format
DePy 2015 Talk
The Web framework for perfectionists with deadlines.
GPU-accelerated Deep Learning on Windows 10 native
Hopefully the easiest way to get started with Google's TensorFlow Deep Learning Neural Network Python Library
Data intensive biology for everyone.
Generative Models by Stability AI
Python client library for Google Maps API Web Services
An exploration of my general data science process by analyzing the inspections of San Francisco restaurants using publicly available data from the Department of Public health.
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Near-optimal RNA-Seq quantification
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.