Book Libraries

189 Components & Libraries

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Book Libraries

A middle-to-high level open source algorithm book designed with coding interview at heart!

All contributors (with decent amount of contributions) will be listed as authors in the project. In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at he…

Turn Python scripts into handouts with Markdown and figures

Turn Python scripts into handouts with Markdown comments and inline figures. An alternative to Jupyter notebooks without hidden state that supports any text editor. You use Python Handout as a librar…

Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Please install Docker before trying out Querybook. Can be used to fetch schema and table information for metadata enrichment. Use one of the following to store query results. Upload query results fro…

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Self-Hosted Bookmark And Archive Manager

Self-hosted Bookmark and Archive manager Bookmark links and edit its metadata (like title, tags, summary) via web-interface. Archive links content in HTML, PDF or full-page PNG format. Automatic arch…

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Framework to capture the dynamics of high-frequency limit order books. In this project I used machine learning methods to capture the high-frequency limit order book dynamics and simple trading strat…

Bruteforce attack on Facebook account using python script

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

The reference book for these and other Spark related topics is: The following notebooks can be examined individually, although there is a more or less linear 'story' when followed in sequence. By usi…

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

Because NannyML can estimate performance, it is possible to weed out data drift alerts that do not impact expected performance, combatting alert fatigue. Besides linking data drift issues to drops in…

A simple python library to interact with Microsoft Graph and Office 365 API

This project aims to make interacting with Microsoft Graph and Office 365 easy to do in a Pythonic way. Access to Email, Calendar, Contacts, OneDrive, etc. Are easy to do in a way that feel easy and …

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

For example: Recommended versions:

:pushpin: :books: Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more.

Multiplatform plotting library based on the Grammar of Graphics

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graph…

CoCalc: Collaborative Calculation in the Cloud

The copyright of CoCalc is owned by SageMath, Inc., and the source code here is released under the GNU Affero General Public License version 3+ subject to the "Commons Clause" License Condition v1.0.…

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

This is not an officially supported Google product. The code in this repository is for demonstrative purposes only.

Source Code for the Book Classic Computer Science Problems in Python

Official Books from the Series by @davecom Ports

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. T…

💬 Python scripts to parse Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.

Data exported for each message regardless of the platform: The Telegram API works differently: you will first need to setup Chatistics, then query your chat logs programmatically. This process is doc…

Booktype is a free, open source platform that produces beautiful, engaging books formatted for print, Amazon, iBooks and almost any ereader within minutes.

Booktype makes it easier and quicker for authors, companies and organisations to edit and publish books. It imports DOCX or EPUB files, converts them into single-source HTML for online editing and pr…

Scripts that automatically claim and download free daily eBooks from https://www.packtpub.com/packt/offers/free-learning

To install current version of script simply run Download all ebooks in all available formats (pdf, epub, mobi) with zipped source code file from your Packt account. To download all ebooks in all ava…

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this repository is to provide an example of a competitive analysis for those …

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

This is the Jupyter notebook version of the following book: If you use either book or code in a scholarly publication, please cite as: M. Beyeler, (2017). Machine Learning for OpenCV. Packt Publishin…

DaProfiler is an OSINT tool allowing you to collect certain information about yourself in order to rectify by rgpd requests the traces you may have left on the net. DaProfiler is indeed able to recover: Addresses, Social media accounts, e-mail addresses, mobile / landline number, jobs.

DaProfiler is an OSINT tool capable of tracing the digital identity of a target via social networks, emails, public information such as directories, business listings, etc. DaProfiler is also able to…

The Ultimate resource hub of Python: All at one place

Pure Python FFmpeg-based live video / audio streaming to YouTube, Facebook, Periscope, Twitch, and more

Why not do things without the command line, via linking libffmpeg, libgstreamer or libav? Other projects using FFmpeg from Python include: Requires FFmpeg ≥ 3.0 (≥ 4.2 for Facebook Live RTMPS) Latest…