This repository contains code of Ipython notebooks which I have written.
NOTE - [From May 7, 2015 IPython notebooks (.ipynb) files render directly on GitHub. There is no need to use nbviewer to view these notebooks. Simply use GitHub to view them.] (https://github.com/blog/1995-github-jupyter-notebooks-3)
- Face Detection
- HSV Thresholding
- Adaptive Thresholding
- Connected Components using RGB values
- Template Matching
- Texture Matching using Uniform Local Binary Patterns
- Displaying Video in IPython Notebook
- Harris Corner Detector from scratch
- Sift Descriptor from Scratch
- Image Blending using Gaussian Pyramids
- Box Filtering using Integral Image
- RANSAC
- Digit Recognition using
nolearn - Cross validation in
scikit-learn - Pipelining is
scikit-learn - Linear Regression using
Theanofrom scratch - Logistic Regression using
Theanofrom scratch - Artifical Neutal Network from scratch
- Naive Bayes on MNIST dataset
- Naive Bayes from scratch
- Linear SVM using Gradien Descent
- Monte Carlo Sampling
- Gaussian Regression