Urdu-Spell-Checker-using-Noisy-Channel-Model

It is Python Implementation of Word Spell Checker. Currently it is trained on Urdu/Hindi Dataset but you may train it on any language just by changing the path of corpus file.

Implementation-of-Convolutional-Neural-Network-on-MNIST-dataset

This is the implementation of convolutional Neural network which applies a filter bank to image to get the features for neuron with sigmoid and cross entropy.

Python-Implementations-of-techniques-to-find-Distance-or-Similarity-Between-String

In this Implementation we have code many techniques to find the distance or similarity between strings. Techniques that we explore and Implemented in Python are (word-level & character-level) Minimum Edit Distance, Euclidean Distance, Manhattan Distance, Chebychev Distance, Cosine Similairty, bigram-level Jaccard Similarity Hamming Distance and Longest Common Subsequence Algorithms.

POS-Tagging-Sentiment-Analysis

Sample Code for POS Tagging of english words and Sentiment Analysis for sentence using Blob