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Command-line downloader for Google Play APK files. It can fetch base APKs, split APKs from app bundles, OBB expansion files and Play Asset Delivery packs. It requires Python 3.9 or newer and signs in through a Google account added with the gplaydl Authenticator app. The project notes it uses unofficial Google Play access and may lead Google to restrict accounts used with it.
gPodder is a simple, open source podcast client and media aggregator, in development since 2005. It is written in Python and runs from a Git checkout without root, compiling, or system-wide installation. Version 3.11.5 was released 2024-12-17, with downloads for Windows, macOS, Linux/BSD and others.
GPT4All is an open-source application for running large language models privately on desktops and laptops without API calls or GPUs. It offers installers for Windows, macOS and Linux, a Python client, and integrations with LangChain, Weaviate and OpenLIT.
GPyTorch is a Gaussian process library implemented using PyTorch, designed for creating scalable, flexible, and modular Gaussian process models. It performs most inference operations using numerical linear algebra techniques such as preconditioned conjugate gradients, and provides GPU acceleration through matrix-vector-multiplication-based inference. Installation requires Python 3.10 or later, PyTorch 2.4.1 or later, and NumPy 2.0 or later.
Gradia is a tool for editing screenshots so they display well on social media, including transparent or oddly sized images of application windows. It offers annotation, gradient, and image-manipulation features and is built with GTK4, libadwaita, and Python. A custom keyboard shortcut can launch it after taking a screenshot.
Gradio is an open-source Python library that enables developers to build and share machine learning web applications easily. It provides simple interfaces for creating demos and sharing models, supporting a wide range of ML frameworks.
GreatCircle is a concise collection of classes for PHP, Python, JavaScript, Ruby, and Go that calculate great circle distance, bearing, and destination from geographic coordinates, hosted in the mwgg/GreatCircle GitHub repository.
Grid studio is a web-based spreadsheet application with full integration of the Python programming language.
GritQL is a declarative query language from Grit for searching and modifying source code. It lets users search with code snippets and metavariables, define custom lints, and apply auto-fix rules, and it supports rewriting JavaScript/TypeScript, Python, JSON, Java, Terraform, Solidity, CSS, Markdown, YAML, Rust, Go and SQL.
Python library and CLI tool to interface with Google Translate's text-to-speech API
Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms. It provides a standard API between learning algorithms and environments, plus reference environments including Classic Control, Box2D, Toy Text, MuJoCo and Atari. It is a fork of OpenAI's Gym library maintained by its maintainers.
Fundamentals of machine learning in python.
Handwriting-OCR is a project that tries to create software for recognizing handwritten text from photos, including Czech language, using computer vision and machine learning. Recognition is divided into four steps, from page detection through word separation and normalization to character recognition. It is written in Python 3.6 with Jupyter Notebook, and the repository was archived by its owner.
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python. It provides modular pipelines and agent workflows with explicit control over retrieval, routing, memory and generation, and is intended for RAG systems, multimodal applications, semantic search, question answering and autonomous agents. Installation is available via pip.
Hidamari is a video wallpaper application for Linux written in Python. It supports autostart after login, applying a static wallpaper with blur, pausing playback on maximized windows or fullscreen mode, volume control, hardware-accelerated decoding, GNOME Wayland, multi-monitor setups, streaming URLs and webpages as wallpaper. It is distributed as a Flatpak on Flathub.
WorldWide Telescope is a suite of free and open source software and data sets that combine to create scientific visualizations and stories. Its ecosystem includes a Windows application, an interactive web app, and toolkits for Python and TypeScript/JavaScript.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Materials for the Hugging Face Diffusion Models Course, a free course on diffusion models. It covers theory, generating images and audio with Diffusers, training and fine-tuning models, and conditional generation. Prerequisites include Python skills and basics in deep learning and PyTorch.
HydraPaper is a wallpaper management application. It manages wallpaper collections with folders that can be enabled or disabled, and marks favorites for quick access. Wallpapers can be set as zoomed, centered or fitted, with a black or blurred background, and random wallpapers can be set quickly. It is written in Python 3 and GTK and released under the GPL3 license.
HydroShare is CUAHSI's online collaboration environment for sharing hydrologic data, models, and code. Users upload files through a web interface, describe them with metadata, choose who can access them, and can obtain Digital Object Identifiers for citation. The platform also offers a REST web service API and Python client, and web apps for visualizing, analyzing, and running models.
Hydrosphere Mist is a serverless proxy for Spark clusters. It offers a functional programming framework and deployment model for Spark applications, with a REST HTTP and messaging API for Scala and Python Spark jobs. Sessions are managed across EMR, Hortonworks, Cloudera, DC/OS and vanilla Spark clusters.
Hyperopt is an open-source Python library available on GitHub, designed to provide distributed asynchronous hyperparameter optimization functionality for tuning machine learning models in development workflows, production environments, as well as research settings.
Hypertunity is a lightweight, high-level Python library for black-box hyperparameter optimisation. It supports Bayesian optimisation by wrapping GPyOpt, objective function evaluation through a scheduler that is also compatible with Slurm, and real-time visualisation of results in Tensorboard via the HParams plugin. A Trial wrapper class allows parallel optimisation without manual scheduling, optimiser updates and logging.
I am trask is a machine learning craftsmanship blog. Posts listed include Decentralized AI in 50 Lines of Python, Is the Universe Random?, Safe Crime Detection, Deep Learning without Backpropagation and Building Safe A.I.
