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Showing 168 open source projects for "auto installl linux"
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1
Auto-Typer
Hooks your keys to only type the thing you selected
Hooks your keys to only type the thing you selected. Run the command line script. Enter the number of times to repeat the text. Enter wherever to reverse the text or not. Enter what characters the text should contain (Enter for everything). Enter what characters the text should begin with (Enter for everything). Press Windows Shift S and select the area of the text. Press Enter to detect the text. Wait until the program displays the text. Press Enter to start typing. Then start typing, the... -
2
AutoGPT
Powerful tool that lets you create and run intelligent agents
AutoGPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, AutoGPT pushes the boundaries of what is possible with AI. -
3
auto-cpufreq
Automatic CPU speed & power optimizer for Linux
Automatic CPU speed & power optimizer for Linux. Actively monitors laptop battery state, CPU usage, CPU temperature, and system load, ultimately allowing you to improve battery life without making any compromises. -
4
auto-sklearn
Automated machine learning with scikit-learn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn... -
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5
Auto labeling pipeline
doccano auto labeling pipeline helps doccano to annotate a document
Auto labeling pipeline helps doccano to annotate a document automatically. This package is intended to be used from the inside of doccano. You shouldn't use this package directly. -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series data... -
7
Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring... -
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labelme Image Polygonal Annotation
Image polygonal annotation with Python
Labelme is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Image annotation for polygon, rectangle, circle, line and point. Image flag annotation for classification and cleaning. Video annotation. (video annotation). GUI customization (predefined labels / flags, auto-saving, label validation, etc). Exporting VOC-format dataset for semantic/instance segmentation. (semantic segmentation, instance segmentation). Exporting COCO-format dataset... -
9
pytest
Python testing tool for writing better programs
pytest is a mature, full-featured Python testing tool that allows you to easily write small tests, while also being able to scale to support complex functional testing for applications and libraries. pytest has detailed information on failing assert statements, which means there’s no need to remember self.assert names. It uses only plain assert statements due to its detailed assertion introspection. pytest features auto-discovery of test modules and functions; modular fixtures made... -
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10
AutoTyper-with-python
A program to auto type a text and enter
A program to auto type a text and enter made with python programming language. -
11
Parveshdhull AutoTyper
A Data Entry Tool for Windows and Linux
... on both Linux and Windows. -
12
Pylint
It's not just a linter that annoys you!
...), black and isort (auto-formatting), autoflake (automated removal of unused import or variable), pyupgrade (automated upgrade to newer python syntax) and pydocstringformatter (automated pep257). Pylint isn't smarter than you: it may warn you about things that you have conscientiously done or checks for some things that you don't care about. During adoption, especially in a legacy project where pylint was never enforced. -
13
AWX
A web-based user interface built on top of Ansible
... consistent output formats with optional machine-parsable formats. To the extent possible, auto-detects API versions, available endpoints, and feature support across multiple versions of AWX. Potential uses include configuring and launching jobs/playbooks, checking on the status and output of job runs, and managing objects like organizations, users, teams, etc. -
14
Meta Package Manager
Wraps all package managers with a unifying CLI
.... Restore/install list of packages from TOML files. Pin-point commands to a subset of package managers (include/exclude selectors). Support plain, versioned, and purl package specifiers. Export output to JSON or print user-friendly tables. Shell auto-completion for Bash, Zsh and Fish. Provides an Xbar/SwiftBar plugin for friendly macOS integration. -
15
buku
Personal mini-web in text
buku is a powerful bookmark manager and a personal textual mini-web. For those who prefer the GUI, bukuserver exposes a browsable front-end on a local web host server. When I started writing it, I couldn't find a flexible command-line solution with a private, portable, merge-able database along with seamless GUI integration. Hence, buku. buku can import bookmarks from the browser(s) or fetch the title, tags and description of a URL from the web. Use your favorite editor to add, compose and... -
16
MkDocs
Project documentation with Markdown
... on the MkDocs Themes wiki page, or build your own. Get your project documentation looking just the way you want it by customizing your theme and/or installing some plugins. Modify Markdown's behavior with Markdown extensions. Many configuration options are available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes. -
17
Rawdog
Generate and auto-execute Python scripts in the cli
An CLI assistant that responds by generating and auto-executing a Python script. Rawdog (Recursive Augmentation With Deterministic Output Generations) is a novel alternative to RAG (Retrieval Augmented Generation). Rawdog can self-select context by running scripts to print things, adding the output to the conversation, and then calling itself again. -
18
uvicorn-gunicorn-fastapi
Docker image with Uvicorn managed by Gunicorn
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning. Optionally with Alpine Linux. -
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Elyra
Elyra extends JupyterLab with an AI centric approach
Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page. -
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SkyPilot
SkyPilot: Run AI and batch jobs on any infra
SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface. -
21
Mailu
Insular email distribution - mail server as Docker images
..., block malicious attachments. Antispam, auto-learn, greylisting, DMARC and SPF, anti-spoofing. Freedom, all FOSS components, no tracker included. -
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DjangoBlog
A blog system based on python3.8 and Django3.0
Articles, pages, categories, tags (add, delete, edit), etc. Articles and pages support Markdown and highlighting. Articles support full-text search. Complete comment feature, include posting reply comment and email notification. Markdown supporting. Sidebar feature, new articles, most readings, tags, etc. OAuth Login supported, including Google, GitHub, Facebook, Weibo, QQ. Memcache supported, with cache auto refresh. Simple SEO Features, notify Google and Baidu when there was a new article... -
23
RobotCode
RobotFramework support for Visual Studio Code
An extension that brings support for RobotFramework to Visual Studio Code, including features like code completion, debugging, test explorer, refactoring and more! With RobotCode you can edit your code with auto-completion, code navigation, syntax checking and many more. -
24
Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution... -
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FEDML Open Source
The unified and scalable ML library for large-scale training
... interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds. A typical workflow is shown in the figure above. When a developer wants to run a pre-built job in Studio or Job Store, TensorOperaLaunch swiftly pairs AI jobs with the most economical GPU resources, and auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management.