Om Prakash's repositories
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
cheatsheets
My cheatsheets
coala-bears
Bears for coala
data-driven-code
Code related to session at PyCon Canada 2016
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
gap_statistic
Uses Scikit-Learn's KMeans and an implementation of the Gap Statistic to determine the optimal N clusters. Use: from gap_statistic.optimalK import optimalK
hacker-scripts
Based on a true story
HacktoberFest
Repository for maintaining code contributed during the IEEE CompSoc Hacktoberfest Sprint @ NITK Surathkal, India.
iamprakashom.github.io
My Portfolio Website (Work in Progress)
imapfw
imapfw (IMAP/mail framework)
imapfw-documentation
Documentation for imapfw using GitBook
imapfw-poc
Proof of concepts for imapfw
imapfw.github.io
Sources of the "imapfw community's website".
offlineimap
Read/sync your IMAP mailboxes [Python]
offlineimap.github.io
Sources of the "OfflineIMAP community's website".
pydsa
Python Data Structure and Algorithms (Alpha Mode)
python-guide
Python best practices guidebook, written for Humans.
python-neuron
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Python_for_Data_Science
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
requests
Python HTTP Requests for Humans™
scikit-learn
scikit-learn: machine learning in Python