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@wadhwasahil
wadhwasahil / gensim_workflow.py
Created Mar 1, 2017 — forked from clemsos/gensim_workflow.py
How to calculate TF-IDF similarity matrix of a complete corpus with Gensim
View gensim_workflow.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
This script just show the basic workflow to compute TF-IDF similarity matrix with Gensim
OUTPUT :
@wadhwasahil
wadhwasahil / readme.md
Created Mar 13, 2016 — forked from baraldilorenzo/readme.md
VGG-16 pre-trained model for Keras
View readme.md

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
View predict.ipynb
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View DFA_Minimization.cpp
//
// main.cpp
// sahil
//
// Created by Adimin on 08/09/15.
// Copyright 2015 __MyCompanyName__. All rights reserved.
//
#include <iostream>
#include <sstream>
View nfa2dfa.cpp
/// Write a program to implement nfa to dfa.
#include<iostream>
#include<cstdio>
#include<vector>
#include<fstream>
#include<cstring>
#include<algorithm>
#include<sstream>
#include<map>
View ball_drag.cpp
#define GLUT_DISABLE_ATEXIT_HACK
#include <windows.h>
#include<iostream>
#include <iostream>
#include <gl\glut.h>
using namespace std;
// Initial Position of the Ball
float x_position = 0.0;
float y_position = 0.0;
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