TensorFlow
An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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Pragma
Pragma is a powerful backend game engine designed to support live-service games with a full suite of online infrastructure. It provides seamless cross-platform account management, allowing players to connect and interact across different gaming ecosystems. The engine enhances social experiences by enabling friend systems, guilds, and in-game events. For multiplayer functionality, Pragma efficiently handles party systems, matchmaking, and server allocation. It also includes robust player data management, covering inventories, progression systems, and battle passes, along with tools for configuring in-game content, stores, and meta-game features. With built-in support for live operations, monetization, telemetry, and extensive customization, Pragma empowers developers to create scalable and engaging online experiences.
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Keepsake
Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.
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Guild Jeweler
Our installation and training process has been designed to get your store started on the right foot. Our desire is that your transition to the Guild Jeweler system will be smooth, that your network setup will be stable and efficient, and that your employees will be prepared to use the Guild Jeweler system for important, everyday tasks. Before the training process can begin, a Guild representative will work with you to ensure the stability and efficiency of your store network. This process may take little to no time at all, if you have carefully prepared the network in advance. However, if you would rather leave the network setup entirely to us, we are willing to take the time necessary to provide and configure your hardware. The entire training process should take 3-4 days total. After your training session is complete, the Guild team will continue to offer you support by phone and internet. Just remember, no problem is too big or too small. We’re here to help.
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