iamrjkunal Goto Github PK

4th_umpire

ML and Django based web-app that predicts result of IPL matches. Made for Code Fun Do

android-malware-detection

This repository provides API and scripts for Android malware detection.

android_malware_detector

Final year project

andropytool

A framework for automated extraction of static and dynamic features from Android applications

anthology-of-modern-ml

Collection of important articles to be treated as a textbook

apk-static-features-extraction

apk static features extraction tool

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-readme

A guide to writing an Awesome README. Read the full article in Towards Data Science.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bootcamp

Code.fun.do Bootcamp Content

cnn-architectures

code_snippets

compiler_project

developing plug-in tools in eclipse and its application such as abstract syntax tree for C/C++ codes

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

cpp-cheatsheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

cs220labs

Lab Assignments

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs251a

for Git-Assignment

dash-by-plotly

Interactive data analytics

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-interviews

Data science interview questions and answers

data-science-wg

SF Brigade's Data Science Working Group.

data_structure_and_algorithms_library

A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deep-learning-notes

My CS231n lecture notes

deeplearningzerotoall

TensorFlow Basic Tutorial Labs