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Name: Anders Huss
Type: User
Bio: Former Air Force Pilot who stopped flying to focus on my passion for Machine Learning and Data Science.
Location: Stockholm, Sweden
Name: Anders Huss
Type: User
Bio: Former Air Force Pilot who stopped flying to focus on my passion for Machine Learning and Data Science.
Location: Stockholm, Sweden
Theano/Blocks implementation of the paper "Adversarial Autoencoders" by Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow (http://arxiv.org/abs/1511.05644)
Python Classes Without Boilerplate
An awesome list of high-quality open datasets in public domains (on-going).
Recurrent Neural Network - A curated list of resources dedicated to RNN
A Theano framework for building and training neural networks
Interactive Web Plotting for Python
Implementation of basic data mining algorithms for educational purpose.
Some tutorials put together for talk at StockholmAI Study Group 2017-06-01: "Application of RNNs to Multiple Asynchronous Event-Driven Data Streams"
TensorFlow implementation of Deep Reinforcement Learning papers
Deep Learning Tutorial notes and code. See the wiki for more info.
The Dirhash Standard: A formal procedure for hashing of a filesystem directory.
Python module and CLI for hashing of file system directories based on the Dirhash Standard.
Tutorial on how to get started with Recurrent Neural Networks using Blocks and Fuel.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
PyPI private package index on Google App Engine
A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Personal tools for ml-dev
Mock python library for testing out travis and publishing to PyPI server
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
Just listing some typical scientific and machine learning libraries (pip requirements.txt)
Just listing some typical scientific, machine learning and deep learning libraries (pip requirements.txt)
General experiments on Vanilla RNN and LSTM in Theano.
Flexible recursive directory iterator: `scandir` meets `glob("**", recursive=True)`
A Giter8 template for scio
Temporary place for code/notebooks/slides from Stockholm-AI reading group.
An Open Source Machine Learning Framework for Everyone
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.