| commit | 35b8e03cbb62d9ea26f0417abfd100dbdef2e002 | [log] [tgz] |
|---|---|---|
| author | Mufan Wang <mfwang2003@gmail.com> | Thu Apr 04 17:18:09 2024 +0200 |
| committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Thu Apr 04 18:34:28 2024 +0200 |
| tree | ef38b8a4692feeea38b142bde017a2d29aa5feca | |
| parent | d22ffeccd7b10af366574f7fe03d637be9db49d5 [diff] |
[SYSTEMDS-3686] STFT This commit adds a short time fourier transformation to the system. this applies fast fourier transformations on windows of different stride and widths, enabeling applications such as sound classification. LDE 23/24 project Co-authored-by: Mufan Wang <mfwang2003@gmail.com> Co-authored-by: Frederic Caspar Zoepffel <f.zoepffel@gmail.com> Co-authored-by: Jessica Eva Sophie Priebe <jessica.priebe@web.de> Closes #2000
Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
| Resource | Links |
|---|---|
| Quick Start | Install, Quick Start and Hello World |
| Documentation: | SystemDS Documentation |
| Python Documentation | Python SystemDS Documentation |
| Issue Tracker | Jira Dashboard |
Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
