ageek/PCV
Open source Python module for computer vision
Discovered public repositories for ageek in the GitHub catalog.
Open source Python module for computer vision
Unsupervised Feature Learning Deep Learning
coursera machine learning exercise in octave/matlab
Torch7: state-of-the-art machine learning algorithms
Lecture notes and assignments for coursera machine learning class
source from exercises in Coursera.
Public repository.
My UFLDL EXERCISE CODE
Restricted Boltzmann Machine and Deep Belief Network Implementation. Uses MNIST dataset as a demo.
A script for downloading course material (video's, pdfs, quizzes, etc) from coursera.org
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised and unsupervised machine learning techniques.
Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
Kaggle competition for ift6266 course
Repository for IFT6266, Representation Learning class.
A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR
neural networks in theano
http://decaf.berkeleyvision.org/
Sparse Filtering
Playing around with UCI data @ http://archive.ics.uci.edu/ml/
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Uploads and downloads files between Google Cloud Storage and the local filesystem using the Google Python Client Library.
Open-Source SIFT Library
Scikit-learn tutorials for the Scipy 2013 conference
Content presented at the 2013 SciPy conference
This repo contains tutorials on OpenCV-Python library using new cv2 interface
Public repository.
There are way too many stories on Hacker News, and there's no option for "show me only the stories that Joel would like". So I built one. (Maybe "cobbled together" is more appropriate.)
Simple working example script for content based image classification using the bag of visual words approach
Various OpenCV projects I found on my disk: Face Recognition, Machine Learning, Colormaps, Samples...
An open library of computer vision algorithms
Data sets for machine learning in Python
Amazon access control challenge
Image Processing SciKit (Toolbox for SciPy)
Restricted Boltzmann Machines in Python.
POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Notebooks
some useful pynotebooks from tutorials, PyCon confs etc
pynotebook ramblings
The Open Source Framework for Machine Vision
Tutorial on scikit-learn and IPython for parallel machine learning
sandbox codes
sofia-kmeans with sparse RBF cluster mapping
k-means + a linear model = good results
A new version of phraug, which is a set of simple Python scripts for pre-processing large files
A set of simple Python scripts for pre-processing large files
Deep learning made easy
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
Contains some Python Samples with new cv2 interface of OpenCV
Open Source Computer Vision Library
Face Recognition Library for OpenCV.
Simple Image registration using SIFT and RANSAC algorithm