habib-baig Goto Github PK
Name: Mohammed Habibullah Baig
Type: User
Bio: I am an avid C++, Python application developer | Currently looking for software engineer full time opportunities starting May 2019.
Location: College Station, Texas
Mohammed Habibullah Baig's Projects
allphonetoys
amazerec
A novel approach to recommending books on Amazon
athene_system
awesome-deep-learning-papers
The most cited deep learning papers
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-serverless
Curated list of resources related to serverless architectures and the Serverless Framework
betterspecs
RSpec Best Practices
clrs
Some exercises and problems in Introduction to Algorithms 3rd edition.
coding-interview-university
A complete computer science study plan to become a software engineer.
cpp-fqa
C++ Frequently Questioned Answers (FQA)
cppcoreguidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
ctci
Cracking the Coding Interview, 5th Edition
ctci-6th-edition-cpp
Cracking the Coding Interview 6th Ed. C++ Solutions
fake-news-detection-extended-research-and-approaches-
Other approaches and results
fma
FMA: A Dataset For Music Analysis
googletest
Google Test
habib-baig.github.io
kbeznak parmatonic
illumio_test
information-retrieval-ml-projects
myleetcodesolutions
My efficient solutions to algorithmic problems on Leetcode
notes
Random notes I want to backup.
rottenpotatoes-rails-intro
RottenPotatoes app skeleton for saasbook/hw-rails-intro
sentiment-analyzer
A unique algorithm/solution to classify movie reviews based on the training dataset of IMDB movie reviews.
stanford-classes
My project files for Stanford's online classes
stanford-cpp-library
The Stanford C++ libraries, created by Eric Roberts et al.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
systemprogramming
Angrave's Crowd-Sourced System Programming Book used at UIUC
theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
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