alexland/python-ctypes-for-ML-apps
c code and modules using ctypes to access that code in the python runtime
Discovered public repositories for alexland in the GitHub catalog.
c code and modules using ctypes to access that code in the python runtime
interactive plots in javascript that render SVG using d3.js
classes for building and viewing binary search trees in python
transforming raw natural language data (text) to structured data suitable for input to a machine learning classifier
a web client using d3.js to query a RESTful API, process the JSON returned, and build a visualization of that data
a lightweight modular framework for data processing using python coroutines
forensic analysis on distributed systems using conventional time series techniques
real-time web metrics collection, storage, and view using node.js, redis, and storm
compact encoding & very fast retrieval of frequent item sets with FP-Growth
R implementations of dynamic pricing models based on the EOQ (Economic Order Quantity) model
using NumPy from the command line to perform many tasks common in data science
template code & themes for most types of plots found in lattice library
a recommendation engine as a service endpoint
view entire data cube in the browser via single viewport; uses d3.js
non-negative matrix approximation to de-sparsify degenerate data matrices
web app for retrieving, manipulating, and viewing data based on flask and redis
recursive descent parser based on C4.5, implemented using python + numpy (computation engine) and graphviz (tree layout + rendering)
modules for IO & preparation of data for input to Machine Learning algorithms
functions to determine pair-wise "similarity" of two vectors by calculating distance in various metric spaces
convert graph data from common formats (e.g., adjacency matrix) to the idiosyncratic JSON format used by d3.js
several spectral-based matrix decomposition techniques, coded in Python/NumPy, for segmentation/clustering, dimension reduction