AI framework 3

Inworld AI: Lifelike AI characters for gaming, entertainment, and virtual worlds. Inworld AI provides lifelike AI characters for open-ended conversations, designed for gaming, entertainment, and virtual worlds. It offers a framework that adapts to users, improves quality with scale, maintains real-time responsiveness, and reduces per-user costs.

Huawei's open-source AI framework for full-scenario deep learning. 昇思MindSpore is a full-scenario AI framework developed by Huawei. It is an open-source deep learning framework that supports automatic differentiation and parallel processing, enabling training once and deployment across multiple scenarios. It supports deep learning training and inference in edge, cloud, and device scenarios, and is mainly used in AI fields such as computer vision and natural language processing. It is designed for data scientists and algorithm engineers and features source code transformation-based automatic differentiation, automatic distributed parallel training, data processing, and a graph execution engine. The framework is open source, fostering an AI development ecosystem.

Open-source framework for building and managing ML, AI, and data science projects. Metaflow is an open-source framework originally developed at Netflix for building and managing real-life ML, AI, and data science projects. It allows data scientists and ML/AI engineers to develop, debug, and deploy workflows in plain Python, leveraging cloud resources for scalable compute and data access. Metaflow integrates seamlessly with existing infrastructure, security, and data governance policies, supporting deployment on AWS, Azure, Google Cloud, and Kubernetes.