SoFE performs two primary functions: it monitors non-filler episodes in Sonarr and generates Plex collections.
SoFE (Sonarr Anime Filler Excluder) is a Python application that configures Sonarr to monitor only non-filler anime episodes sourced from Anime Filler List. It also creates separate Plex collections for non-filler and filler episodes, depending on the download status.
Open-source framework for building asynchronous web services that interact with event streams.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Effortless Python web applications with the power of reactive programming.
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an afternoon. But unlike other frameworks targeted at data scientists, Shiny does not limit your app's growth. Shiny remains extensible enough to power large, mission-critical applications.
Build Python Data & AI web applications.
Turns Data and AI algorithms into production-ready web applications in no time.
Taipy is designed for data scientists and machine learning engineers to build data & AI web applications.
From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability.
Structured text generation and robust prompting for language models.
Outlines is a Python library that allows you to use Large Language Model in a simple and robust way (with structured generation). It is built by .txt, and is already used in production by many companies.
Penelope Shell Handler.
Penelope is a shell handler designed to be easy to use and intended to replace netcat when exploiting RCE vulnerabilities. It is compatible with Linux and macOS and requires Python 3.6 or higher. It is a standalone script that does not require any installation or external dependencies, and it is intended to remain this way.
The Data Processor for Agents.
Marly allows your agents to extract tables & text from your PDFs, Powerpoints, etc in a structured format making it easy for them to take subsequent actions (database call, API call, creating a chart etc).
On-device AI across mobile, embedded and edge for PyTorch
ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.
OmniParser is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements, which significantly enhances the ability of GPT-4V to generate actions that can be accurately grounded in the corresponding regions of the interface.
🧪 Correlate Semgrep scans with Python test coverage to prioritize SAST findings and get bug fix suggestions via a self-hosted LLM.
vulncov correlates Semgrep scans with Python test code coverage to identify which vulnerable code has been executed by unit tests, helping prioritize SAST findings and reduce false positives. It also leverages a self-hosted LLM to suggest bug fixes!
Ce site propose des exercices d'apprentissage de l'algorithmique et de la programmation par le biais d'exercices variés. Le langage utilisé est Python.
Les exercices proposés ont été écrits, testés, corrigés et améliorés par des professeurs d'informatique du secondaire et du supérieur.
Aucune installation, aucune inscription ne sont nécessaires : tous les programmes sont exécutés sur votre machine, tablette ou téléphone.
Multi-vendor library to simplify Paramiko SSH connections to network devices.
Network automation to screen-scraping devices is primarily concerned with gathering output from show commands and with making configuration changes.
Netmiko aims to accomplish both of these operations and to do it across a very broad set of platforms. It seeks to do this while abstracting away low-level state control (i.e. eliminate low-level regex pattern matching to the extent practical).
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Meta Lingua is a minimal and fast LLM training and inference library designed for research. Meta Lingua uses easy-to-modify PyTorch components in order to try new architectures, losses, data, etc. We aim for this code to enable end to end training, inference and evaluation as well as provide tools to better understand speed and stability. While Meta Lingua is currently under development, we provide you with multiple apps to showcase how to use this codebase.
All Algorithms implemented in Python.
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
Open-Source ML Monitoring and LLM Observability.
Open-source evaluation and observability for ML and LLM systems
Evaluate, test, and monitor AI-powered systems. From tabular data to LLMs. Built for data scientists, AI, and ML engineers.
The Open-Source Tool Democratizing Multi-Cloud Security Testing by Arpan Sarkar.
Multi-Cloud Security Testing Tool to execute a comprehensive array of attack techniques across multiple surfaces via a simple web interface.
Halberd is a powerful, multi-cloud security testing tool. Born out of the need for a unified, easy-to-use tool, Halberd enables you to proactively assess your cloud defenses by executing a comprehensive array of attack techniques across Entra ID, M365, Azure, and AWS. With its intuitive web interface, you can simulate real-world attacks, generate valuable telemetry, and validate your security controls with ease & speed.