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python-timbl is a Python extension module wrapping the full TiMBL C++ programming interface, exposing all functionality of the C++ interface to Python scripts for prototyping TiMBL-based applications. It was originally developed by Sander Canisius, with a 2013 release by Maarten van Gompel, and since 2020 supports only Python 3. It is distributed under the GNU General Public License.
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A GitHub repository curated by mahmoud that lists free, high-quality open-source software built with Python. It serves as a resource for users seeking Python-based open-source applications for various use cases.
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30 Days Of Python is a GitHub repository or organization with source code, releases, documentation, or project resources.
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avatarify-python is a video tool for encoding, conversion, repair, playback, editing, or processing workflows.
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Clean Code Python is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Hello-Python is a code project with source, releases, documentation, or setup notes.
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imutils is a Python package of convenience functions that make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV. It works with Python 2.7 and Python 3 and is pip-installable given NumPy, SciPy, Matplotlib and OpenCV. A find_function method searches function names across modules.
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Learn-Python is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Python Data Science Handbook is a code project with source, releases, documentation, or setup notes.
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Python Guide is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Python SEO Analyzer crawls websites to audit SEO, accessibility, performance, and technical page issues.
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Python Wrapper is a code project with source, releases, documentation, or setup notes.
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python-frog is an open-source Python library hosted on GitHub providing bindings to the Dutch NLP tool Frog, which supports part-of-speech tagging, lemmatisation, named entity recognition, morphological analysis, shallow parsing and dependency parsing.
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python-web is a code project with source, releases, documentation, or setup notes.
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A tutorial project for applying machine learning in Python with scikit-learn, a Python module built on numpy and scipy. It aims to teach practical application of scikit-learn algorithms; the stated audience is experienced Python developers familiar with numpy and scipy. Prebuilt PDF and HTML versions, tutorial source and exercise solutions are available, and the material is under a Creative Commons Attribution 3.0 license.
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Talos is a Python package for running parameter sweeps for Keras, TensorFlow and PyTorch models. Experiments can use the Python Scan interface or a single-file definition run through Python or the CLI. The Talos 2 generation is in active maintenance, and the Talos 1.x series will remain supported at least until 2028.
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automl-gs is a Python 3 AutoML module that takes an input CSV and a target field and generates a trained machine learning or deep learning model plus native Python code pipelines. It provides a zero code/model definition interface and performs random hyperparameter searches, reporting metrics for each trial in a CSV.
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BayesO is a Python framework for Bayesian optimization, described as a simple but essential Bayesian optimization package. It is installed via pip and is tested on Python 3.8 through 3.12. The repository includes documentation, examples and tests, and is released under the MIT License.
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bt-dualboot is a Python tool for syncing Bluetooth devices between Windows and Linux in a dual-boot setup, avoiding re-pairing. It requires the Windows partition to be mounted with write access and Python 3.6+ with the chntpw package. Supported systems include Linux Mint and Windows 10.
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Open-source Python library for data-centric AI that helps clean data and labels by automatically detecting issues in machine learning datasets. It uses existing models to estimate dataset problems that can be fixed to train better models. It runs on Python 3.10+ and works with any model across classification, regression, segmentation and object detection tasks.
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DEAP is an evolutionary computation framework for Python aimed at rapid prototyping and testing of ideas. It provides genetic algorithms over representations such as lists, arrays, sets, dictionaries, trees and Numpy arrays, genetic programming with prefix trees, evolution strategies including CMA-ES, multi-objective optimisation, and co-evolution of multiple populations. It supports parallelisation via multiprocessing and SCOOP and works out of the box with Python 3 since version 0.8.
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Depot is a framework for storing and serving files in Python web applications. It supports backends including local disk, in-memory storage, GridFS, Amazon S3 and Google Cloud Storage, and attaches files to SQLAlchemy or Ming/MongoDB models with file rollback on transaction rollback. It is installed from PyPI as the filedepot distribution and requires Python 3.10 or later.
Archived, read-only GitHub repository of free resources for learning machine learning with Python and Jupyter Notebook, including notebooks, courses and other links. It was first posted in 2016 and was archived by the owner on Jun 27, 2022.