Our blog website for machine learning

Easy to use progress bars for Python

Interactive Data Visualization in the browser, from Python

All the hipster things in Neural Net in a single repo

Everything you need to know to get the job.

A tool to randomly generate made-up words

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

Image augmentation library in Python for machine learning.

chrome-plugin-recommand 程序员必备的那些Chrome插件

World countries in JSON, CSV, XML and Yaml. Any help is welcome!

TensorFlow tutorials and best practices.

Visualizations for machine learning datasets

What-happens-when 的中文翻译，原仓库 https://github.com/alex/what-happens-when

Sphinx theme from Read the Docs

Maze generation code, inspired by Mazes for Programmers.

Tutorials and implementations for "Self-normalizing networks"

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

Using Jekyll to create outputs that can be used as Pandoc inputs. In short - input markdown, output mobi, epub, pdf, and print-ready pdf. With a focus on fiction.

Bayesian inference for Gaussian mixture model with some novel algorithms

Data sets for machine learning in Python

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

Face recognition with deep neural networks.

Run Keras models in the browser, with GPU support using WebGL

CNNs for sentence classification

Microsoft Distributed Machine Learning Toolkit

A topic-centric list of HQ open datasets.

Bayesian Black Box Hyper Parameter Optimizer