SmartSim | SmartSim Infrastructure Library | Machine Learning library

SmartSim is a Python library typically used in Artificial Intelligence, Machine Learning applications. SmartSim has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install SmartSim' or download it from GitHub, PyPI.

SmartSim makes it easier to use common Machine Learning (ML) libraries like PyTorch and TensorFlow, in High Performance Computing (HPC) simulations and applications. SmartSim provides an API to connect HPC workloads, particularly (MPI + X) simulations, to an in-memory database called the Orchestrator, built on Redis. Applications integrated with the SmartRedis clients, written in Fortran, C, C++ and Python, can stream tensors and datasets to and from the Orchestrator. The distributed Client-Server paradigm allows for data to be seamlessly exchanged between applications at runtime. In addition to exchanging data between languages, any of the SmartRedis clients can remotely execute Machine Learning models and TorchScript code on data stored in the Orchestrator despite which language the data originated from. SmartSim supports the following ML libraries. A number of other libraries are supported through ONNX, like SciKit-Learn and XGBoost. SmartSim is made up of two parts. The two library components are designed to work together, but can also be used independently.