Stars
Notes on the papers I've read on deep learning. Contributions welcome !
Code samples for my book "Neural Networks and Deep Learning"
A series of blog posts on visualizing deep learning.
Shannon Entropy calculation to measure the information gain of an array of objects.
Source code for my collection of articles on using pandas.
My solutions to some of leetcode challenges
Practice your pandas skills!
LLVM Optimization to extract a function, embedded in its intermediate representation in the binary, and execute it using the LLVM Just-In-Time compiler.
Code used on "Writing your own programming language and compiler with Python" post
Compilation of resources for aspiring data scientists
Get a stream as a string, Buffer, ArrayBuffer or array
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
A curated list of awesome responsible machine learning resources.
Minimal examples of data structures and algorithms in Python
flushes an object to a JSON file. lets you do simple CRUD with async safely with the backend being a flat JSON file
DMOZ Scraper with revisiting using Frontera and Scrapy
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
UAParser.js - The Essential Web Development Tool for User-Agent Detection. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser (client-side) or Node.js (server-side).
Python PDF Parser (Not actively maintained). Check out pdfminer.six.
Repository collecting all the submodules for the new PyTorch-based OCR System.
Answers to 120 commonly asked data science interview questions.
A collection of awesome web crawler,spider in different languages
This is the code for "Machine Learning API tutorial" By Siraj Raval on Youtube