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List of wrappers for accessing ChatGPT in platform such as Discord, Telegram, and languages such as Python, JS.
Adaptive Reliability Layer is a Python project that sits between an inference pipeline and a monitoring layer. It detects distribution shift, decides whether adaptation is warranted, and learns from delayed revealed labels. It does not replace the model.
Better DeepSeek is an open-source browser extension that adds tools to the DeepSeek chat interface, including a customizable system prompt, persistent memory, and tag-based output. It can generate downloadable files, PowerPoint and Excel documents, and multi-file ZIP projects, and run Python in the browser. The project is described as unofficial and independent.
The easiest, and fastest way to run AI-generated Python code safely.
Agentset.ai is an open-source platform for building AI chat and search applications. It provides production-grade retrieval-augmented generation (RAG) capabilities without requiring specialized RAG expertise, and includes features such as multimodal support, automatic source citations, metadata filtering, support for over 22 file formats, and JavaScript and Python SDKs.
Aider LLM Leaderboards presents quantitative benchmarks of LLM code editing skill. The polyglot benchmark tests LLMs on 225 Exercism coding exercises in C++, Go, Java, JavaScript, Python and Rust, and benchmarks evaluate an LLM's ability to follow instructions and edit code without human intervention.
Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Pipelines are defined in Python, and workflows can be monitored, scheduled and managed through a web application. Operators allow tasks to run on services such as Google Cloud Platform, Amazon Web Services and Microsoft Azure.
Albert is a keyboard launcher written in C++/Qt that provides unified access to the machine. Its plugin-based architecture allows plugins to serve as frontends or functional extensions, and extensions can be implemented with embedded Python modules or a CGI approach in any language. It comes with a curated collection of plugins.
Andrew Ng’s Machine Learning at Stanford University is a Coursera course titled 'Supervised Machine Learning: Regression and Classification'. It is the first course of the Machine Learning Specialization. The course teaches how to build machine learning models in Python using NumPy and scikit-learn, covering regression and classification. It is aimed at beginners, requires flexible scheduling over three weeks at ten hours per week, and offers a shareable certificate.
ANGRYsearch is a Linux file search tool that returns instant results as you type, written in Python 3 with a PyQt5 GUI. It offers lite and full modes, and fast, slow and regex search modes. The database and config files are stored locally; indexing about one million files can take roughly two minutes.
Annoy is a C++ library with Python bindings for approximate nearest neighbor search. It creates large read-only file-based indexes that are mmapped into memory so many processes can share the same data. Supported distances include Euclidean, Manhattan, cosine, Hamming and dot product.
Anywidget is a standard for building reusable interactive widgets, presented as going beyond frameworks. It is installed with pip, and its documented example defines a counter widget in Python using anywidget and traitlets, with rendering code written in JavaScript.
Apache Zeppelin is a web-based notebook for data-driven, interactive data analytics and collaborative documents with SQL, Scala, Python, R and more. It uses interpreters to plug in language and data-processing backends, including built-in Apache Spark integration, and includes basic charts, pivot charts, dynamic forms and paragraph publishing to embed results in websites.
An unofficial API for JioSaavn written in Python 3 and built with Flask. It returns song details in JSON format and accepts song names, song links, album links and playlist links through a universal endpoint, with separate endpoints for songs, albums, playlists and lyrics.
ArrayCat is a browser-based tool for converting strings, lists and CSV columns into PHP, JavaScript, Python, Go, Delphi and Pascal arrays, JSON arrays, MySQL inserts or plain lists. It can remove duplicates, empty items and diacritics, sort lists, change letter case, normalize whitespace and encode Base64. Input is processed in the browser and not uploaded.
astroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib and astropy, distributed under the 3-clause BSD license. It provides statistical and machine learning routines for analyzing astronomical data, loaders for open astronomical datasets, and examples of analyzing and visualizing datasets. The project was started in 2012 to accompany a textbook on statistics, data mining and machine learning in astronomy.
Astropy is a community effort to develop a common core package for astronomy in Python and foster an ecosystem of Affiliated Packages. Installation is available via pip and other package managers, and the project provides tutorials, documentation, and community help channels.
The Atlas of Living Australia is a biodiversity data platform offering open access to Australian biodiversity data. It holds occurrence records and datasets and lets users search and download records by species, taxon, dataset, region, date or location. It provides tools including an R and Python package, a spatial portal and BioCollect for surveys and field data.
Audio Source is a tool that forwards Android microphone audio input to the PulseAudio daemon through ADB, allowing an Android device to be used as a USB microphone. It consists of an Android app and a client script for a GNU/Linux machine with Android SDK Platform Tools, PulseAudio or PipeWire with PulseAudio support, and Python 3.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
AutoKeras is an AutoML library for deep learning built on Keras, developed by DATA Lab at Texas A&M University. The project describes its goal as making machine learning accessible to everyone. It can be installed with pip, and the documentation states it is currently only compatible with Python 3.7 or later and TensorFlow 2.8.0 or later.
AutoKey is a desktop automation utility for Linux and X11, formerly hosted on Google and updated to run on Python 3. It is an X11 application and will not function correctly when Wayland is used instead of Xorg. The project offers scripting, phrases, and mouse and keyboard control features documented in its wiki.
AutoViz is a Python library that automatically visualizes any dataset, any size, with a single line of code. It also offers the FixDQ() function for a quick assessment of dataset quality and fixing data quality issues. The project aims to provide an automated approach to exploratory data analysis through quick and easy data visualization plus data quality, abstracting away the complexities of various plotting libraries and techniques.
