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An innovative tool for monitoring and controlling your organisation and its entities.

Accentor Associates Limited - Your Trusted Chartered Accountancy Firm. At Accentor Associates Limited, we go beyond numbers – we are your reliable and approachable chartered accountancy firm nestled in the heart of Central London, just steps away from Turnpike Lane tube station in Hornsey. Our mission is clear: to help business owners (worldwide) achieve their goals by providing meticulous accounting and financial services. 🔍 Unlock the Potential in Your Numbers Year-end accounts need not be

CloudStack Services is a Toronto-based Salesforce Implementation Partner specializing in empowering nonprofit organizations through tailored CRM solutions. With over 30 years of combined experience on the Salesforce platform, CloudStack Services has assisted numerous small to medium-sized nonprofits in streamlining their operations, enhancing donor engagement, and achieving their missions more effectively. Key Features and Functionality: - fundraisingManager: An all-in-one donor management sy

We've created an exclusive edition of RoadFS that comes pre-loaded with P&S Products, Renny Doyle's Double Black Collection and a standard list of services and pricing to manage your auto detailing business.

GazeSense is a 3D eye tracking software that provides real-time gaze coding without the need to wear glasses and tracking the eye-gaze in 3D. Using off the shelf depth-sensing cameras, it allows you to track multiple subjects, label objects of interest in the open space and track attention towards them in real-time.

The AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production AMI is a pre-configured Amazon Machine Image designed to streamline the deployment of deep learning applications on AWS. It integrates TensorFlow 1.10 with Python 3.6 and CUDA 9.2, providing a ready-to-use environment that eliminates the complexities of manual setup. This AMI is optimized for high-performance computing, enabling developers and data scientists to efficiently build, train, and deploy machine learning models on Amazon EC2 inst

Joomla Max Performance is a pre-configured Amazon Machine Image (AMI) designed to deliver an optimized Joomla content management system (CMS) environment on Amazon Web Services (AWS). This solution integrates Joomla with OpenLiteSpeed, a high-performance web server, to enhance website speed, scalability, and security. Key Features and Functionality: - OpenLiteSpeed Web Server: Provides a lightweight, high-performance server with HTTP/3 support, ensuring faster content delivery and improved use

The AISE TensorFlow 1.8 Python 2.7 CUDA 9.1 Production is a pre-configured and fully integrated software stack designed for machine learning and deep learning applications. It combines TensorFlow 1.8, Python 2.7, and CUDA 9.1 to provide a stable and tested execution environment optimized for NVIDIA GPUs. This setup is ideal for training, inference, and running API services, and can be seamlessly integrated into continuous integration and deployment workflows. Key Features and Functionality: -

The LEMP 5 Optimized stack is a pre-configured, high-performance web server environment designed to streamline the deployment of web applications. It integrates Linux, Nginx, MySQL, and PHP, offering an efficient and scalable solution for developers and businesses seeking to host dynamic websites and applications. Key Features and Functionality: - Nginx Web Server: Utilizes Nginx for handling multiple requests within a single thread, enhancing performance and resource efficiency compared to tr

The TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9 Production AMI is a pre-configured, fully integrated software stack designed for machine learning and deep learning applications. It combines TensorFlow 1.5, Python 3.6, and CUDA 9, optimized for NVidia GPU acceleration, providing a stable and tested execution environment for training, inference, or running as an API service. This AMI is tailored for both short and long-running high-performance tasks and can be seamlessly integrated into continuous

The AISE PyTorch 0.4 Python 3.6 CUDA 9.1 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch 0.4, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, providing a seamless platform for developing and deploying deep learning models. Optimized for NVIDIA GPUs, this environment leverages CUDA 9.1 to accelerate computations, making it ideal for both training and inference tasks.

The Optimized LAMP Stack PHP 7 on Ubuntu is a pre-configured Amazon Machine Image (AMI) designed to streamline the deployment of web applications by integrating the latest versions of Apache, MariaDB, and PHP 7 on an Ubuntu operating system. This AMI comes with all components pre-installed and updated with the latest OS and security patches, providing a secure and efficient environment for hosting PHP-based applications. Key Features and Functionality: - Pre-Installed Components: Includes Apac

PyTorch CPU MKL Production is a pre-configured and fully integrated software stack that combines PyTorch, an open-source machine learning library, with the Python programming language. Designed for high-performance tasks, this stack is optimized for CPU usage, making it suitable for both short and long-running machine learning workloads. It offers a stable and production-ready environment, ensuring long-term support and regular updates. Key Features and Functionality: - High-Performance Execu

Redmine 3.3 on PostgreSQL is a pre-configured, one-click installation solution that combines Redmine, a free and open-source web-based project management and issue tracking tool, with PostgreSQL as its database backend. This setup is optimized for performance and reliability, utilizing Nginx as the web server and incorporating self-management, self-monitoring, and self-healing components to ensure seamless operation. Key Features and Functionality: - Project Management: Facilitates efficient p

The MXNet 1 Python 3.6 CPU Production environment is a pre-configured software stack that integrates Apache MXNet, an open-source deep learning framework, with Python 3.6. This setup offers a stable and tested execution environment optimized for CPU-based tasks, facilitating efficient training, inference, and deployment of deep learning models. It is designed to seamlessly integrate into continuous integration and deployment workflows, making it suitable for both short and long-running high-perf

The "TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu" Amazon Machine Image (AMI) is a pre-configured environment designed to streamline the development and deployment of deep learning applications. This AMI integrates TensorFlow 1.5 with Python 3.6, optimized for NVIDIA GPUs using CUDA 9.1, all within an Ubuntu operating system. Key Features and Functionality: - Pre-Configured Environment: Eliminates the need for manual setup by providing a ready-to-use deep learning framewo

The AISE TensorFlow 1.7 Python 3.6 CPU Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines TensorFlow 1.7, an open-source machine learning library, with Python 3.6 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. This setup is optimized for CPU performance, providing a stable and efficient environment for developing and deploying machine learning models. Key Featu

The "MXNet 1 Python 2.7 CPU Production" is an Amazon Machine Image designed to facilitate the development and deployment of deep learning models using Apache MXNet on Amazon EC2 instances. This AMI is pre-configured with MXNet version 1.x and Python 2.7, optimized for CPU-based computations, providing a ready-to-use environment for machine learning practitioners. Key Features and Functionality: - Pre-Installed MXNet Framework: The AMI comes with Apache MXNet 1.x, an open-source deep learning f

The Optimized LAMP Stack PHP 7 on Debian is a pre-configured and performance-tuned environment designed for deploying web applications. It integrates the latest PHP 7 version with the traditional LAMP components—Linux, Apache, MySQL (MariaDB, and PHP—on a Debian operating system. This setup ensures a secure, efficient, and ready-to-use platform for developers and businesses aiming to host robust web applications. Key Features and Functionality: - PHP 7 Integration: Leverages PHP 7's enhanced p

MyRocks 5.6 is an open-source storage engine for MySQL, developed by Facebook, that integrates RocksDB into MySQL 5.6. It is designed to enhance database performance by improving space efficiency, write efficiency, and read efficiency, particularly on flash storage. By utilizing a Log-structured Merge-Tree (LSM-Tree architecture, MyRocks offers significant advantages over traditional storage engines like InnoDB. Key Features and Functionality: - Greater Space Efficiency: MyRocks provides up to