Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.
Description
MindSpore, an open-source deep learning framework created by Huawei, is engineered to simplify the development process, ensure efficient execution, and enable deployment across various environments such as cloud, edge, and device. The framework accommodates different programming styles, including object-oriented and functional programming, which empowers users to construct AI networks using standard Python syntax. MindSpore delivers a cohesive programming experience by integrating both dynamic and static graphs, thereby improving compatibility and overall performance. It is finely tuned for a range of hardware platforms, including CPUs, GPUs, and NPUs, and exhibits exceptional compatibility with Huawei's Ascend AI processors. The architecture of MindSpore is organized into four distinct layers: the model layer, MindExpression (ME) dedicated to AI model development, MindCompiler for optimization tasks, and the runtime layer that facilitates collaboration between devices, edge, and cloud environments. Furthermore, MindSpore is bolstered by a diverse ecosystem of specialized toolkits and extension packages, including offerings like MindSpore NLP, making it a versatile choice for developers looking to leverage its capabilities in various AI applications. Its comprehensive features and robust architecture make MindSpore a compelling option for those engaged in cutting-edge machine learning projects.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
Yes
Ascend Cloud Service
No
Docker
No
Huawei Cloud
No
Huawei Cloud ModelArts
No
Ubuntu
Yes
Integrations
Python
Yes
Ascend Cloud Service
Yes
Docker
Yes
Huawei Cloud
Yes
Huawei Cloud ModelArts
Yes
Ubuntu
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy
Vendor Details
Company Name
MindSpore
Founded
2019
Country
China
Website
www.mindspore.cn/