Search Results for "linux packages" - Page 41
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Showing 1860 open source projects for "linux packages"
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Postbird
Open source PostgreSQL GUI client for macOS, Linux and Windows
Postbird is a cross-platform PostgreSQL GUI client, written in JavaScript, runs with Electron. -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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Cardano SL
Cryptographic currency implementing Ouroboros PoS protocol
Cryptographic currency implementing Ouroboros PoS protocol. The cardano-node is the top level for the node and aggregates the other components from other packages: consensus, ledger and networking, with configuration, CLI, logging and monitoring. The node no longer incorporates wallet or explorer functionality. The wallet backend and explorer backend are separate components that run in separate external processes that communicate with the node via local IPC. The new Cardano implementation... -
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DeskGap
A cross-platform desktop app framework based on Node.js
DeskGap is a framework for building cross-platform desktop apps with web technologies (JavaScript, HTML and CSS). To enable native capabilities while keeping the size down, DeskGap bundles a Node.js runtime and leaves the HTML rendering to the operating system‘s webview. -
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TMSU
TMSU lets you tags your files and then access them
TMSU lets you tags your files and then access them through a nifty virtual filesystem from any other application. TMSU is a tool for tagging your files. It provides a simple command-line utility for applying tags and a virtual filesystem to give you a tag-based view of your files from any other program. TMSU does not alter your files in any way: they remain unchanged on disk, or on the network, wherever your put them. TMSU maintains its own database and you simply gain an additional view,... -
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TP-COBOL-DEBUGGER
A COBOL debugger for GnuCOBOL/OpenCOBOL written in GnuCOBOL
A COBOL debugger for GnuCOBOL written in GnuCOBOL. Works with both current GnuCOBOL and old GnuCOBOL/OpenCOBOL 1.1; could be used for other vendors with slightly modifications, too. Take a look at https://gnucobol.altervista.org/tp-cobol-debugger/ -
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gitfs
Version controlled file system
gitfs is a FUSE file system that fully integrates with git. You can mount a remote repository's branch locally, and any subsequent changes made to the files will be automatically committed to the remote. gitfs was developed by the awesome engineering team at Presslabs, a Managed WordPress Hosting provider. gitfs was designed to bring the full powers of git to everyone, no matter how little they know about versioning. A user can mount any repository and all their changes will be automatically... -
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Imaging
High-quality image processing library for Go
This project is an open source image processing library written in Go that focuses on providing simple, efficient, and high-quality image manipulation functionality. It is designed to work with Go’s standard image package while extending it with commonly needed operations such as resizing, cropping, rotating, and filtering. The library emphasizes correctness and image quality, using well-known resampling algorithms to produce consistent results. Its API is intentionally minimal and easy to... -
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pysourceinfo
RTTI for Python Source and Binary Files
The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and Windows - Python2, Python3 - CPython, PyPy Object addresses within modules - Object Identifier OID - and the display of the runtime call flow are supported by 'PyStackInfo'. ... -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
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Deep Learning with PyTorch
Latest techniques in deep learning and representation learning
...The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. To be able to follow the exercises, you are going to need a laptop with Miniconda (a minimal version of Anaconda) and several Python packages installed. The following instruction would work as is for Mac or Ubuntu Linux users, Windows users would need to install and work in the Git BASH terminal. JupyterLab has a built-in selectable dark theme, so you only need to install something if you want to use the classic notebook interface. -
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AndPermission
Permissions manager for Android platform
AndPermission is an AndroidX library that centralizes permission-related workflows behind a fluent Java API. It requests ordinary runtime permissions and reports granted or denied results through callbacks. The library can also help applications share private files through platform-compatible mechanisms. Specialized flows cover installing packages from unknown sources, drawing over other apps, displaying notifications, and accessing notification listeners. It also supports directing users to... -
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yapyutils
Utilities for platform indepentent low-level system APIs.
The 'yapyutils' - Yet Another Python Utils - package provides miscellaneous *Python* utilities for the adaptation of platform independent APIs of the low-level part of the software stack. These are e.g. used for extensions of the *setuptools* and *distutils*, thus reduce the package dependency and avoid circular dependencies whenever possible by using standard packages and classes only. The more complex and complete data packages are provided for higher application layer... -
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GPT-2 FR
GPT-2 French demo | Démo française de GPT-2
OpenAI GPT-2 model trained on four different datasets in French. Books in French, French film scripts, reports of parliamentary debates, Tweet by Emmanuel Macron, allowing to generate text. Tensorflow and gpt-2-simple are required in order to fine-tune GPT-2. Create an environment then install the two packages pip install tensorflow==1.14 gpt-2-simple. A script and a notebook are available in the src folder to fine-tune GPT-2 on your own datasets. The output of each workout, i.e. the folder... -
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Raspbian For Robots by Dexter Industries
Modified Raspbian Image for Use with Raspberry Pi Robots
The Dexter Industries Raspbian image a ready-to-go operating system for use with the Raspberry Pi and the Dexter Industries family of robots. You can find installation instructions here: http://www.dexterindustries.com/howto/install-raspbian-for-robots-image-on-an-sd-card/ Find instructions on changing the hostname of your Raspberry Pi here: http://www.dexterindustries.com/howto/change-the-hostname-of-your-pi/ The image comes with all packages and software installed you will need... -
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DevOps Bash Tools
800+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs
...Advanced Bash environment - .bashrc + .bash.d/*.sh - aliases, functions, colouring, dynamic Git & shell behaviour enhancements, automatic pathing for installations and major languages like Python, Perl, Ruby, NodeJS, Golang across Linux distributions and Mac. See .bash.d/README.md. Installs the best systems packages. -
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setuplib
Extensions for setuptools - detailed information on entry points
The *setuplib* package provides core functions for the query of meta information and installation repositories of *Python* packages. It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group... -
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DefinitelyTyped
The repository for high quality TypeScript type definitions
DefinitelyTyped is the repository for high quality TypeScript type definitions. TypeScript is an open source typed superset of JavaScript, with many different data types which allow JavaScript developers to use highly-productive development tools and practices. DefinitelyTyped packages are all type-checking/linting cleanly and published to npm in under an hour. Types packages have tags for versions of TypeScript that they explicitly support, and currently only versions 2.8 and above are tested. -
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NMT CSI Installable packages for 100/200/300/400 series.
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setupjavax
Provides Java and integrated Jython/Pyhon + Java builds
The ‘setupjavax‘ package provides extension modules for the build of Java and Jython packages. The current release supports the following commands, additional are coming soon: - build_java - Java build and packaging for Python. Supports Java packaging for Python projects, adds native Java modules for Jython. - build_jy - Integrated Python and Java builds for Jython. Supports combined Java and Python / Jython packaging. Calls build_py and build_java. -
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OWASP ModSecurity CRS
OWASP ModSecurity Core Rule Set (CRS) Project
The OWASP ModSecurity Core Rule Set (CRS) is a curated, generic Web Application Firewall rule set that detects and blocks common attack categories across most web apps. It focuses on broad protection—SQL injection, cross-site scripting, local/remote file inclusion, command injection, and protocol violations—without requiring app-specific knowledge. Rules are organized into paranoia levels so operators can tune detection aggressiveness and balance false positives against coverage. An... -
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TensorFlow Haskell
Haskell bindings for TensorFlow
The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies... -
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Ethlint
(Formerly Solium) Code quality & Security Linter for Solidity
Ethlint (Formerly Solium) analyzes your Solidity code for style & security issues and fixes them. Standardize Smart Contract practices across your organization. Integrate with your build system. Deploy with confidence! Solium does not strictly follow Solidity Style Guide. The practices it enforces by default are best practices for the community at large. If you’re using vim with syntastic, and prefer to use a locally installed version of Solium (rather than a global version), you can install... -
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NPM/Bower Dependency Manager
NPM/Bower Dependency Manager for Composer
The composer-asset-plugin is a Composer extension that allows developers to manage frontend dependencies (like npm and Bower packages) through Composer. This bridges the gap between PHP projects and JavaScript/CSS dependencies. -
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Azure Machine Learning Python SDK
Python notebooks with ML and deep learning examples
Azure Machine Learning Python SDK is a curated repository of Python-based Jupyter notebooks that demonstrate how to develop, train, evaluate, and deploy machine learning and deep learning models using the Azure Machine Learning Python SDK. The content spans a wide range of real-world tasks — from foundational quickstarts that teach users how to configure an Azure ML workspace and connect to compute resources, to advanced tutorials on using pipelines, automated machine learning, and dataset...
