Ini Libraries

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Ini Libraries

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

4 September 2023 - Version 1.7.1 25 May 2023 - Version 1.7.0 15 September 2022 - Version 1.6.2 1 September 2022 - Version 1.6.1 24 August 2022 - Version 1.6.0 2 June 2022 - Version 1.5.0 For the late…

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…

Low-code framework for building custom LLMs, neural networks, and other AI models

Key features: Install from PyPi. Be aware that Ludwig requires Python 3.8+. Or install with all optional dependencies: Let's fine-tune a pretrained LLaMA-2-7b large language model to follow instructi…

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern is a web mining module for Python. It has tools for: It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples. The source code is licensed under BSD. …

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Install CatBoost by following the guide for the Next you may want to investigate: If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domain…

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Sebastian Raschka 2014-2024 To install mlxtend, just execute If you use conda, to install mlxtend just execute The mlxtend version on PyPI may always be one step behind; you can install the latest de…

Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo

Developing of new features for Django Jet will be frozen, only critical bugs will be fixed. Django JET has two kinds of licenses: open-source (AGPLv3) and commercial. Please note that using AGPLv3 co…

🙌 Welcome open-source Python mini-project contributions!

A collection of easy Python small projects to help you improve your programming skills. As a Python newbie, I understand the problems that people face when they first begin studying and attempting to…

Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments

Trafilatura consistently outperforms other open-source libraries in text extraction benchmarks, showcasing its efficiency and accuracy in extracting web content. The extractor tries to strike a balan…

Django friendly finite state machine support

django-fsm adds simple declarative state management for django models. If you need parallel task execution, view and background task code reuse over different flows - check my new project django-view…

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

See the following images of the example input/output: Apache License 2.0. See LICENSE file.

Library to scrape and clean web pages to create massive datasets.

A straightforward library that allows you to crawl, clean up, and deduplicate webpages to create massive monolingual datasets. Using this library, you should be able to create datasets larger than th…

Multi-class confusion matrix library in Python

Fig1. ConfusionMatrix Block Diagram After that, two scores are calculated for each confusion matrices, overall and class-based. The overall score is the average of the score of seven overall benchmar…

Minimal TOTP generator in 20 lines of Python

MinTOTP is a minimal TOTP generator written in Python. TOTP stands for Time-Based One-Time Password. Many websites and services require two-factor authentication (2FA) or multi-factor authentication …

A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber

This documentation is intended as a reference for app and workflow developers as well as project contributors and operators. Here you will find walkthroughs, tutorials and other useful information ab…

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

With Intel(R) Extension for Scikit-learn, you can: To install Intel(R) Extension for Scikit-learn, run: The software acceleration is achieved through patching. It means, replacing the stock scikit-le…

pyclustering is a Python, C++ data mining library.

Each algorithm is implemented using Python and C/C++ language, if your platform is not supported then Python implementation is used, otherwise C/C++. Implementation can be chosen by ccore flag (by de…

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain independent keyword extraction algorithm which tries to determine key phrases in a body of text by analyzing the frequency of …

Security Knowledge Framework (SKF) Python Flask / Angular project

Please note that this is the archived version of SKF, we are busy building a brand new Security Knowledge Framework. For more updates please visit this github repo: Our experience taught us that the …

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database. Currently, the benchmark datasets cover four key inpatient clinical prediction tasks that map onto …

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Examples of techniques for training interpretable machine learning (ML) models, explaining ML models, and debugging ML models for accuracy, discrimination, and security. The notebooks highlight techn…

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

or: Alternatively, you could clone and run setup.py file: Initialize a group of classifiers as base estimators Initialize, fit, predict, and evaluate with Stacking See a sample output of classifier_s…

Python artificial intelligence framework for games

Additionally you will need to install Numpy to be able to run some of the examples. Let us define the rules of a game and start a match against the AI: Result: Let us now solve the game: These comput…

:moneybag: Cryptocurrency trading bot library with a simple example strategy (trading via Gemini).

💰 Python bindings for trading Bitcoin, Ethereum, & USD on the Gemini.com Exchange API. This type of tight, risk-averse bot will only make small profits because it never waits for big upward trend…

A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA neural network models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.

At PyPOTS, things are related to coffee, which we're familiar with. Yes, this is a coffee universe! As you can see, there is a coffee pot in the PyPOTS logo. And what else? Please read on ;-) ☕️ Welc…

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

This code is BSD-licensed (3 clause). or using pip+git for the latest version of the code: or in editable mode to be able to modify the sources: If you make a modification, run the test suite before …

Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js

Note: If possible register your account with a company email address. Once you have a subscription id apply for Azure Open AI Service here: GenEng revolution being led by developers who build deep pr…

H2O.ai Machine Learning Interpretability Resources

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques i…

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