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@ucalyptus2
ucalyptus2 / app.html
Created July 1, 2014 13:20
<html>
<head>
<title>Sayantan Das</title>
</head>
<body bgcolor=blue><img src="http://mynameissayantan.webs.com/armenia_marmashen_2-wallpaper-1366x768.jpg"></img></body>
</html>
@ucalyptus2
ucalyptus2 / Hustlers.txt
Created January 2, 2018 12:14
Hustlers from 2016-17
Important people in my contacts whom I should focus on this 2018
------------------------------------------------------------------
Aayush Katiyar
Abhirup Coder
Abhishek Mukherjee
Abhishek Prasad
Aditya Mukherjee
@ucalyptus2
ucalyptus2 / zipper.sh
Created June 12, 2020 19:50
rm /content/plots/roc/*.h5
rm /content/models/*.h5
zip -r $1.zip /content/plots/ /content/results/ /content/scores/ /content/models/
rm -rf /content/plots/ /content/results/ /content/scores/ /content/models/
mkdir /content/plots/ /content/results/ /content/scores/ /content/models/
@ucalyptus2
ucalyptus2 / hit.py
Last active June 21, 2020 06:19
import matplotlib.pyplot as plt
import os
import tensorflow as tf
from keras.utils import Sequence
from skimage.io import imread
from sklearn.utils import shuffle
import numpy as np
tf.logging.set_verbosity(tf.logging.ERROR)
from IPython import get_ipython
@ucalyptus2
ucalyptus2 / serverapi.py
Created June 26, 2020 03:44
# coding: utf-8
"""
@Author: Sayantan Das
@Github: ucalyptus
"""
import ftplib
uid = 'ucalyptus'
@ucalyptus2
ucalyptus2 / rnc.py
Created June 28, 2020 05:46
import os
import numpy as np
def pad(img, crop_size):
h, w, c = img.shape
n_h = int(h/crop_size)
n_w = int(w/crop_size)
w_toadd = (n_w+1) * crop_size - w
@ucalyptus2
ucalyptus2 / deconv.py
Created June 28, 2020 05:48
import math
import tensorflow as tf
tf.config.experimental_run_functions_eagerly(True)
from tensorflow.python.keras.layers.convolutional import Conv
from tensorflow.python.keras.utils import conv_utils
class BiasHeUniform(tf.keras.initializers.VarianceScaling):
def __init__(self, seed=None):
super(BiasHeUniform, self).__init__(scale=1. / 3., mode='fan_in', distribution='uniform', seed=seed)
@ucalyptus2
ucalyptus2 / python_publish.yml
Created July 15, 2020 16:16
name: Upload Python Package
on:
release:
types: [created]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
@ucalyptus2
ucalyptus2 / cyclegan.tex
Created July 16, 2020 18:28
\documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, thick] (z) {$\vec{a}_{real}$};
\node[circle, draw, thick, right=5em of z] (x) {$\vec{b}_{fake}$};
\draw[-stealth, thick] (z) -- node[above] {$G_{AB}(\vec{a})$} node[below, align=center] {generator\\ ($A\rightarrow B$)} (x);
@ucalyptus2
ucalyptus2 / Tuitions.md
Created July 17, 2020 14:19

Affordable Private ML Tuitions

ML private tuitions by Teacher: Sayantan Das. An affordable no-nonsense initiative started to help students who are new to this field and professionals who want to change their careers. Course is designed to be math-intensive.Participants will be involving themselves with the basics in math before any state of the art ML project can be tutored. Every class will be around 2 hours with theoretical explanation and programmatic session given equal weightage. Doubt clearing sessions will be separate. Students will get the chance to sit back and study before doubt clearing sessions are held for every corresponding class session.

Curriculum (84 hours)

The course is a bit different.In addition to clearing the foundations of the participant,the instructor wishes to fast-track each of his students into becoming early researchers of Machine Learning engineers. These steps will definitely involve learning to take part in online data science con