Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.
Engine to create database applications based on Django and the IBM Carbon Design System
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.
a highly customizable, elegantly designed event system based on asyncio
Quantitative Sustainable Design for sanitation and resource recovery systems
Integrate the French government Design System into a Django app
Django application to add 'django-crispy-forms' layout objects for the GOV.UK Design System.
Python module containing data files for picolibc - a C library designed for embedded 32- and 64- bit systems. software.
Exposition of sanitation and resource recovery systems
Library designed as a python wrapper to unleash Rust text processing power combined with Python
AISAK, short for Artificially Intelligent Swiss Army Knife, is a general-purpose AI system comprising various models designed for different tasks. Developed by the AISAK team, one of the models within AISAK is a state-of-the-art language model designed for text generation tasks. This package leverages usage of the model, named AISAK-Assistant, which is fine-tuned on extensive datasets to excel in understanding and interpreting various queries in natural language text.
solving constrained optimization problem for the design of engineering systems
VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison. Designed with ease-of-use in mind, VectorDBBench is devised to help users, even non-professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open-source vector databases a breeze.
Simple optical ray tracing library to validate the design of an optical system (lenses positions and sizes, focal lengths, aperture and field stops). Support for Monte Carlo raytracing to estimate transmission efficiency and powers, limited but functional Zemax file loader for lenses, several material dispersion curves included for chromatic aberrations all coming from http://refractiveindex.info
Python SoC/Core builder for building FPGA based systems.
CoSApp, the Collaborative System Approach.
RAVEN (Risk Analysis Virtual Environment) is designed to perform parametric and probabilistic analysis based on the response of complex system codes. RAVEN C++ dependenciences including a library for computing the Approximate Morse-Smale Complex (AMSC) and Crow probability tools
cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.
The Django Dance School project: a modular, reusable set of designed to integrate all of the regular functions of a social dance school with the Django CMS content management system
Django Analytics simple is a package designed to facilitate tracking and analysis of data in Django web applications
A fault-tolerant Complex Event Processing engine designed for edge computing in Internet of Things systems.
The MeasureSoftGram-Core is a Software system for continuous quality of product observation and multidimensional use in continuous design engineering software and is where you have the innovative mathematical models for software analysis.
An advanced hybrid ranking engine for recommendation systems, designed to automate the optimization of algorithms and parameters tailored to diverse business objectives.
Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems
Dash Components using IBM's Carbon Design System https://github.com/carbon-design-system
The Purple Geckos File Management System (PG-FMS) is an advanced, Python-based file management solution designed to streamline and enhance file handling tasks.
The `systempath` is a highly specialized library designed for Python developers for file and system path manipulation. By providing an intuitive and powerful object-oriented API, it significantly simplifies complex file and directory management tasks, allowing developers to focus more on implementing core business logic rather than the intricacies of low-level file system operations.
Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
The "anonpi" module is a Python package designed to streamline interactions with calling systems. It simplifies the development of applications that require features like machine detection, IVR, DTMF handling, call recording, playback, and more. This module provides a clean and intuitive API for seamless integration into Python applications.
Package to aid in the design of low-slope roof systems for ponding stability and impounded rain load.
Official Python wrapper for TakionAPI services, designed for efficient automation and bypass of advanced antibot systems.
An innovative system designed to enhance the capabilities of AI assistants by providing a flexible and standardized API.
A collection of Streamlit components that use or are inspired by the GOV.UK Design System
A MKDocs plugin which extends the material theme with styles from the VA design system
A lightweight JSON-based database system inspired by Firestore (Firebase). It's designed for simplicity and ease of use.
Control system design and analysis package
A powerfull and flexible framework for designing async socket based data streaming and distribution systems, with automated parsing, dynamic data store and high-level control hooks.
A framework for designing, orchestrating and executing backdoor systems, with short and long term memory, dynamic execution, data delivery, multithreading live communication and more.
aiFlows implements the abstraction of Flows proposed in "Flows: Building Blocks of Reasoning and Collaborating AI" and greatly simplifies the design and implementation of complex (work)Flows involving humans, AI systems, and tools.
accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Deep Boltzmann Machines(DBMs), an Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), a Convolutional Auto-Encoder(CAE), and Transformer.
A collection of MkDocs plugins designed to work with Spotify's TechDocs system
A framework for designing, orchestrating and executing reverse-shell systems, with short and long term memory, dynamic execution, data delivery, multithreading live communication and more.
Tools for designing Synthetic Nervous Systems, and simulating them on various software/hardware backends
A library designed to accompany the EmoCodes system.