Science Libraries

367 Components & Libraries

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Science Libraries

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…

Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM)

Ways of doing Data Science Engineering and Machine Learning in R and Python

These series of tutorials on Data Science engineering will try to compare how different concepts in the discipline can be implemented in the two dominant ecosystems nowadays: R and Python. We will do…

Apache Superset is a Data Visualization and Data Exploration Platform

A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…

:earth_americas: machine learning tutorials (mainly in Python3)

This is a continuously updated repository that documents personal journey on learning data science, machine learning related topics. Curated notes on deep learning. Notes related to advertising domai…

Tutorials and training material for the H2O Machine Learning Platform

This document contains tutorials and training materials for H2O-3. If you find any problems with the tutorial code, please open an issue in this repository. There are a number of tutorials on all so…

The "Python Machine Learning (1st edition)" book code repository and info resource

What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into…

Simple script for downloading Youtube comments without using the Youtube API

Simple script for downloading Youtube comments without using the Youtube API. The output is in line delimited JSON. Or directly from the GitHub repository: For example: or using the Youtube ID: You c…

HDRI / Radiance image processing algorithms for Python

The following features are available: The optional features dependencies are installed as follows: The figures plotting dependencies are installed as follows: The overall development dependencies are…

common data analysis and machine learning tasks using python

This repo contains a curated list of Python tutorials for Data Science, NLP and Machine Learning.

A collection of general Python utilities, including logging and file IO, subprocess management, plugin systems, and workflow management.

PyUtilib is available under the BSD License. By contributing to this software project, you are agreeing to the following terms and conditions for your contributions:

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get…

An open source Python package for plasma research and education

To install PlasmaPy on macOS or Linux, open a terminal and run: To install PlasmaPy on Windows, open a terminal and run PlasmaPy's weekly project meetings are a place to discuss education, outreach, …

Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.

Collection of useful resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl, etc.) and miscellaneous stuff.

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

在本系列中，你可能会接触到数据挖掘、机器学习、深度学习、自然语言处理、人工智能等很多的概念。值得说明的是，鉴于很多的算法实现是以文字结合代码介绍为最佳，因此工具实践篇中的大部分内容是以 Juypter Notebook 的形式放在该仓库中，并且在 Colab 中进行浏览、编辑与实验。 1956 年，几个计算机科学家相聚在达特茅斯会议，提出了“人工智能”的概念，梦想着用当时刚刚出现的计算机来构造…

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.

In addition to the built-in package documentation there are vignettes with more information on getting started and additional examples:

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

You should already have pip, Python, and optionally XGBoost, LightGBM, and CatBoost installed on your system (see below). Run the following command to install AlphaPy: Pyfolio is automatically instal…

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

It was last updated to a fully running version in late October, 2021. You should refer to the Jupyter Notebooks in this repository rather than the book's source code, which is badly outdated and will…

:bowtie: Create a dashboard with python!

Bowtie is a library for writing dashboards in Python. No need to know web frameworks or JavaScript, focus on building functionality in Python. Interactively explore your data in new ways! Deploy and …

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

The MovieGEEK is a website initially implemented to accompany my book, Practical Recommender Systems. However, this folder is used for the manning LiveProject, which is currently in MEAP. The website…

:books: Curated lists for programming, books, movies, music, games, etc

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Analyzing the IRIS dataset with Sci-Pype This notebook shows how to make new predictions with cached IRIS Classifier Models + Analysis housed in redis. This notebook shows how to make new predictions…

Data analysis and reporting tool for quick access to custom charts and tables in Jupyter Notebooks and in the shell.

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Version 1.1 is available to install via Pip: Run the search on the rightmove website and copy the URL of the first results page. Create an instance of the class with the URL as the init argument. Fin…

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…

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

The installation instructions are generic and should work on most operating systems that support the prerequisites. Please refer to the individual packages for more information about additional depen…