Search Results for "tools" - Page 16
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Showing 596 open source projects for "tools"
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Harmonica
A simple, physics-based animation library
Harmonica is a Go animation library based on simple physics simulation. It provides tools for creating smooth, natural motion in 2D and 3D applications. The project includes spring animation behavior that can make interface movement feel more organic than fixed linear transitions. It also includes projectile-style simulation that is useful for particles, motion effects, and game-like interactions. Harmonica can be used with terminal interfaces, Bubble Tea applications, and graphical projects that need realistic movement. ... -
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waybackurls
Fetch all the URLs that the Wayback Machine knows about for a domain
...Its design is intentionally simple and efficient, focusing on delivering large volumes of URLs quickly with minimal configuration. The output can be combined with other tools for further analysis, such as filtering parameters or probing endpoints. -
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gon
Sign, notarize, and package macOS CLI tools and applications
gon is a simple, no-frills tool for signing and notarizing your CLI binaries for macOS. gon is available as a CLI that can be run manually or in automation pipelines. It is also available as a Go library for embedding in projects written in Go. gon can sign and notarize binaries written in any language. Beginning with macOS Catalina (10.15), Apple is requiring all software distributed outside of the Mac App Store to be signed and notarized. Software that isn't properly signed or notarized... -
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SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Blogifier
Blogifier is an open-source publishing platform Written in ASP.NET
...You have the most power to manage and publish your digital content in such a simple way that you want to do more. Managing contents on the dashbaord easily, with many helpful tools. Publishing content is easier than before. -
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On Books
Readings and notes on the past, present, and future of books
...Rather than simply listing titles, the project links readings to categories like writing tools, reading devices, publishing models, and distribution systems, helping you place each resource in context. The author invites contributions and suggestions, reflecting that the project is both a personal log and a community resource. -
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DataTables
Tables plug-in for jQuery
...Styling can be adapted to frameworks like Bootstrap or Foundation, making it blend seamlessly into modern UIs. Because it handles large datasets efficiently, DataTables has become a go-to component for dashboards, reporting tools, and admin interfaces. -
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go-study-index
Go language learning materials index
...It was created because a previous index of resources had gone out of date for over three years, and the author wanted a fresher, living catalog that others could update via fork and pull request. The README is structured into sections for communities, navigation sites, learning materials, tools, cloud platforms, newsletters, videos, and even job resources. It lists major Chinese Go communities (such as Golang 中国, Study Golang, GoCN Forum) and numerous QQ groups, alongside English-language communities like the official golang-nuts mailing list and Go Forum. The index also categorizes popular web frameworks (Gin, Echo, Beego, Macaron, Revel, Iris), ORMs and database drivers (xorm, gorm, mgo, gosql), helper sites (Go Walker, gobuild.io, regex testers, JSON-to-struct converters). -
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MDH Weekly
MDH Weekly front-end weekly, published every Monday at 9am
...It gives a structured way to aggregate items of interest (possibly front-end, open-source, JS/React ecosystem, or general programming resources) into a periodic “newsletter” or summary repository. For contributors or followers of the project, it helps stay up-to-date with trends, new tools, and noteworthy developments without having to browse many sources individually. Because it lives on GitHub, it naturally supports versioning and history: you can see how the resource list evolves over time, revisit previous weeks, and track growth or changes. As a collaborative or curated effort, it can reflect collective wisdom: different contributors can add items they find valuable. -
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CDN Up and Running
CDN Up and Running - Building a CDN from Scratch to Learn about CDN
...The project uses technologies such as Nginx, Lua, Docker, Prometheus, and Grafana to simulate realistic CDN environments and monitoring systems. It also explores performance considerations, including latency simulation, load balancing, and scalability. By integrating observability tools, it enables users to analyze system behavior and performance metrics. -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
...Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. Users can run their experiments across multiple state-of-the-art explainers and easily perform comparative analysis on them. Using these tools, users will be able to explain their machine-learning models globally on each label or locally for each document. -
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QB64
BASIC for the modern era
QB64 is a modern self-hosting BASIC compiler that brings classic QBasic/QuickBASIC programs into the modern era. It enables legacy code to run on today’s operating systems with minimal modifications, while also introducing new commands and libraries for multimedia, networking, and 64-bit computing. QB64 compiles to C++ and includes a built-in IDE, making it accessible for beginners, hobbyists, and retro programming enthusiasts. It aims to preserve the ease and nostalgia of BASIC while... -
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Nimporter
Compile Nim Extensions for Python On Import
Nimporter allows the seamless import of Nim code into Python projects, enabling the use of Nim's performance and syntax within Python applications. -
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Pretty-Error
See node.js errors with less clutter
pretty-error is a Node.js library that renders JavaScript error messages in a cleaner, more readable, and visually styled format to make debugging easier. PrettyError turns error objects into something similar to an html document, and then uses RenderKid to render the document using simple html/css-like commands. This allows PrettyError to be themed using simple css-like declarations. There are a few methods to help you customize the contents of your error logs. You can customize which trace... -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. ... -
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YOLOR
implementation of paper - You Only Learn One Representation
...It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts, inference tools, and pretrained weights. Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems. -
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PyTorchVideo
A deep learning library for video understanding research
...It supports video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal video analysis. Designed to accelerate research and deployment, it serves as a unified framework for reproducible, high-performance video AI development. -
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TRFL
TensorFlow Reinforcement Learning
TRFL, developed by Google DeepMind, is a TensorFlow-based library that provides a collection of essential building blocks for reinforcement learning (RL) algorithms. Pronounced “truffle,” it simplifies the implementation of RL agents by offering reusable components such as loss functions, value estimation tools, and temporal difference (TD) learning operators. The library is designed to integrate seamlessly with TensorFlow, allowing users to define differentiable RL objectives and train models using standard optimization routines. TRFL supports both CPU and GPU TensorFlow environments, though TensorFlow itself must be installed separately. ... -
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LambdaCD
a library to define a continuous delivery pipeline in code
Abandon your build servers, build your own! With LambdaCD you develop and build pipelines just like your applications: In code, in version control, with tests and refactorings. LambdaCD is a toolbox to enable you to build your own build server. It's got you covered, whether you need ten simple builds or one hugely complex delivery pipeline. -
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Idiomatic.js
Principles of Writing Consistent, Idiomatic JavaScript
idiomatic.js is a style guide repository that defines conventions and best practices for writing clean, readable, and maintainable JavaScript code, largely serving as a reference for developers to ensure consistency across projects. It lays out guidelines for topics such as formatting, naming, control structures, modularity, and language features, helping teams avoid common pitfalls and style disagreements. The guide includes examples of both recommended and discouraged patterns, making it... -
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babel-plugin-macros
Allows you to build simple compile-time libraries
Currently, each babel plugin in the babel ecosystem requires that you configure it individually. This is fine for things like language features but can be a frustrating overhead for libraries that allow for compile-time code transformation as an optimization. babel-plugin-macros defines a standard interface for libraries that want to use compile-time code transformation without requiring the user to add a babel plugin to their build system (other than babel-plugin-macros, which is ideally... -
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Lucid
A collection of infrastructure and tools for research
Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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Kataw
An 100% spec compliant ES2022 JavaScript toolchain
Kataw is a JavaScript toolchain aiming for full compliance with the ES2022 specification. It offers tools for parsing, analyzing, transforming, and minifying JavaScript code, consolidating functionalities typically handled by separate tools.
