Manash Kumar Mandal manashmandal

👨‍💻

Probably Coding || ! Probably Coding

manashmandal / mp3towav.sh

Created July 9, 2017 04:18

Bulk Conversion From mp3 to wav using ffmpeg

	for i in "/home/manash/me/research/text_to_speech/data/Gangtake_Gondogol/audio"/*
	do
	writefilename="/home/manash/me/research/text_to_speech/data/Gangtake_Gondogol/audio"/$(basename $i .mp3).wav
	ffmpeg -i $i $writefilename
	done

manashmandal / notebook.ipynb

Created July 17, 2017 09:18 — forked from eamartin/notebook.ipynb

Understanding & Visualizing Self-Normalizing Neural Networks

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manashmandal / jasmine.c

Last active July 24, 2017 07:38

jasmine.c

	#include <stdio.h>
	#include <stdlib.h>
	#include <string.h>
	#include "jsmn.h"

	/*
	* A small example of jsmn parsing when JSON structure is known and number of
	* tokens is predictable.
	*/

manashmandal / test.json

Last active July 30, 2017 18:50

JSMN Parser

	{
	"name" : "Manash",
	"website" : "https://blog.manash.me",
	"github" : "https://github.com/manashmndl",
	"turnscoffeintocommits" : "yes"
	}

manashmandal / main.c

Last active July 17, 2019 00:27

	#include <stdio.h>
	#include <string.h>
	#include <stdlib.h>
	#include "jsmn.h"

	#define JSON_FILE_PATH "../Parser/test.json"
	#define BUFFER_SIZE 5000
	#define MAX_TOKEN_COUNT 128

	// Read files

manashmandal / index.html

Created August 11, 2017 16:13

viz

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta http-equiv="X-UA-Compatible" content="ie=edge">
	<title>D3plus 1.0 Example</title>

	<!-- Adding D3 and D3plus Libraries -->
	<script src="https://d3plus.org/js/d3.js"></script>

manashmandal / index.html

Created August 11, 2017 16:51

d3plus 2.0

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta http-equiv="X-UA-Compatible" content="ie=edge">
	<title>Document</title>

	<style>
	#exampleIframe {

manashmandal / l2norm_softmax.py

Created September 13, 2017 14:58

	# Actual Code : https://github.com/aymericdamien/TensorFlow-Examples/blob/master/notebooks/3_NeuralNetworks/convolutional_network.ipynb
	# Modified By: Manash

	from __future__ import division, print_function, absolute_import

	# Import MNIST data
	from tensorflow.examples.tutorials.mnist import input_data
	mnist = input_data.read_data_sets("/tmp/data/", one_hot=False)

	import tensorflow as tf

manashmandal / TensorFlowSoftmax.py

Created September 18, 2017 14:17

Softmax Regression

	import tensorflow as tf

	# Import MNIST data
	from tensorflow.examples.tutorials.mnist import input_data
	mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)

	# Parameters
	learning_rate = 0.01
	training_epochs = 10
	batch_size = 100

manashmandal / softmax_tf_gradients.py

Last active September 18, 2017 14:31

Softmax using tf.gradients

	import tensorflow as tf

	# Import MNIST data
	from tensorflow.examples.tutorials.mnist import input_data
	mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)

	# Parameters
	learning_rate = 0.01
	training_epochs = 10
	batch_size = 100