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FLAML is a lightweight Python library from Microsoft for automating machine learning and AI operations. It performs model selection and hyperparameter optimization under resource constraints, including tuning foundation model inference hyperparameters. It requires Python 3.10 or later, is installable via pip, and can be used as a scikit-learn style estimator.
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A Google Drive download script written in Python, compatible with Python 2 and 3. It requires no API keys or credentials, supports shared files or folders, and accepts one or more shared Google Drive URLs as input.
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gibMacOS is a Python 2 and Python 3 script that can download macOS components directly from Apple. It can also build Internet Recovery USB installers from Windows using dd and 7zip, though internet recovery USBs can no longer be built via MakeInstall on Windows since macOS 11.
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A GitHub repository holding the notebooks and code for the book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido, together with the mglearn library of helper functions for figures and datasets. The book requires scikit-learn 0.20.0, and the code also needs numpy, scipy, matplotlib, pandas and pillow.
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ipychart is a Python library that brings the power of Chart.js to Python. It is hosted on GitHub at https://github.com/nicohlr/ipychart. The repository includes installation instructions, documentation, usage examples, and development information.
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Microagents is an experimental framework for dynamically creating self-improving agents in response to user tasks. Generated agents are assessed and stored for reuse across chat sessions. It uses Python, OpenAI's GPT-4 Turbo, and Text-Embedding-Ada-002. Agents execute Python code directly and do not currently operate within a sandbox.
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Mutahunter is an open-source, language-agnostic mutation testing tool that uses large language models. It is installed as a Python package requiring Python 3.11 or later and run against a repository with a test command, source path and test path, reporting mutation coverage and survived or killed mutants.
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NALP is a Python library covering Natural Adversarial Language Processing. It combines natural language processing and adversarial learning, from embeddings to neural networks. The package offers corpus loading for raw text and audio, encoders, and pre-loaded neural network models. Version 3.0.2 requires Python 3.11+.
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Notebooks is a Docker-based starter kit for machine learning through Jupyter notebooks, intended for users who want a ready runtime environment. Its images cover combinations of Keras, TensorFlow and PyTorch with CUDA v8 through v11, and include JupyterLab, scikit-learn, pandas and visualization, vision and NLP libraries. Python 3 only, as Python 2 is end-of-life.
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pixray is an image generation system combining perception engines, CLIP-guided GAN imagery and CLIPDraw. It is a Python library and command line utility that can also run in Google Colab notebooks or inside Docker using Cog. Installation requires a recursive git clone and a fresh Python 3.8 environment.
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pkuseg is a Python toolkit for multi-domain Chinese word segmentation, based on a 2019 paper. It provides pretrained models for news, web, medicine, tourism, and mixed domains, and supports user-trained models and part-of-speech tagging. It is distributed under the MIT license.
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PyBrain is a Python machine learning library distributed under a BSD-3-Clause license. The repository includes documentation, examples, and a setup script; installation requires SciPy and is performed with python setup.py install or by cloning the repository. The project provides a quickstart, tutorials, and an API reference in its documentation.
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PyBroker is a Python framework for developing algorithmic trading strategies with a focus on machine learning. It provides a backtesting engine built in NumPy and accelerated with Numba, model training and backtesting using Walkforward Analysis, parameter optimization with Optuna, and access to historical data from Alpaca, Yahoo Finance, and AKShare. It supports Python 3.11+ on Windows, Mac, and Linux.
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The repository holds materials and IPython notebooks for "Python for Data Analysis, 3rd Edition" by Wes McKinney, published by O'Reilly Media. Notebooks cover chapters on Python basics, NumPy, pandas, data loading, cleaning, visualization, time series and modeling libraries, plus appendices. The code is released under the MIT license.
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PyDexter is a Python wrapper for D3xter that renders charts in the browser using simple Python syntax. It supports histogram, scatter, plot, pie, timeline and bar chart examples. Installation is done with pip install PyDexter, and charts can be configured with settings such as height, width and title.
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pyhsmm is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models and explicit-duration Hidden semi-Markov Models, focusing on the HDP-HMM and HDP-HSMM with weak-limit approximations. Extensions include autoregressive models, switching linear dynamical systems and factorial models. The package is stated as no longer maintained and was last tested with Python 3.7.
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PyQtGraph is a pure-Python graphics library that uses the Qt framework. It is intended for mathematics, scientific and engineering applications, and relies on numpy for number crunching, Qt's GraphicsView for 2D display and OpenGL for 3D display. It supports Python 3.12+, Qt 5.15 or 6.8+, and numpy 2.2+.
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pytessarct is a Python wrapper for the Google Tesseract optical character recognition tool, hosted as a public repository on GitHub. It enables developers to incorporate Tesseract's text recognition capabilities into Python projects.
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A Python library for implementing a Recommender System.
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A Python wrapper around the ZPar statistical natural language parser, providing a ctypes-based interface and an XML-RPC ZPar server for batch processing. It works only with English ZPar models and supports 64-bit Linux and OS X. The repository was archived on Sep 13, 2022 and is read-only; the project is no longer under active development.
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A GitHub repository containing search plugins used by the search feature in qBittorrent. It serves as a hub for third-party contributors to gather and share plugins and is maintained by community contributors rather than the qBittorrent core team. Python 3 is required since Python 2 support was removed.
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SearchifyX is a fast flashcard searcher tool and the predecessor to Searchify. It acts as a webscraper for Quizlet, Quizizz, and Brainly, letting users query questions from these sites and sort results by similarity to the input query. The tool includes a screen OCR scanner, customizable global hotkeys, and stealth features to prevent websites from detecting window focus changes, and is available as both a GUI application and CLI tool for Linux, Mac OS, and Windows. It was created strictly for educational purposes to demonstrate asynchronous webscraping in Python, requiring Python 3.8 dependencies and Tesseract for OCR functionality.
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Python tool for searching and collecting public Instagram profile information.