The Apache SINGA (incubating) team is pleased to announce the release of SINGA 1.0.0.
SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. SINGA supports a wide variety of popular deep learning models. The release is available at: http://singa.apache.org/en/downloads.html The major features of this release include: - Tensor abstraction for supporting more machine learning models. - Device abstraction for running on different hardware devices. - Replace GNU autotool with cmake for compilation. - Support Mac OS. - Improve Python binding, including installation and programming. - More deep learning models, including VGG and ResNet. - More IO classes for reading/writing files and encoding/decoding data. - New network communication components directly based on Socket. See the release notes for more details: http://singa.apache.org/en/releases/RELEASE_NOTES_1.0.0.html We look forward to hearing your feedbacks, suggestions, and contributions to the project (http://singa.apache.org/). Regards, The Apache SINGA (incubating) team ===== *Disclaimer* Apache SINGA is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the name of Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
