Site for a Data Science class taught by Allen Downey
created at Jan. 31, 2014, 1:46 p.m.
Convenience meta-package to load essential packages for statistics
created at Jan. 19, 2014, 12:24 a.m.
(pre-alpha) Implementation of Jeff Hawkins' Hierarchical Temporal Memory & Cortical Learning Algorithm
created at Jan. 16, 2014, 2:15 p.m.
Vulpes: a Deep Belief Net written in F#, and using Alea.cuBase to access the GPU.
created at Jan. 15, 2014, 9:57 p.m.
Recipes for using Python's pandas library
created at Dec. 21, 2013, 5:14 p.m.
Large scale Gaussian Mixture Models
created at Dec. 4, 2013, 12:10 p.m.
Distributed, masterless, high performance, fault tolerant data processing
created at Dec. 2, 2013, 1:21 a.m.
Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.
created at Dec. 1, 2013, 4:02 p.m.
Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
created at Nov. 28, 2013, 9:15 p.m.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
created at Nov. 27, 2013, 2:03 a.m.