Dear all, Please find the draft report below. Comments are welcomed. Thank you!
Regards, Wei -------------- ## Description: The mission of Apache SINGA is the creation and maintenance of software related to a distributed deep learning platform ## Issues: There are no issues requiring board attention. ## Membership Data: Apache SINGA was founded 2019-10-16 (2 years ago) There are currently 22 committers and 16 PMC members in this project. The Committer-to-PMC ratio is roughly 3:2. Community changes, past quarter: - No new PMC members. Last addition was Chris Yeung on 2020-04-17. - No new committers. Last addition was Zhang Zhaoqi on 2020-07-01. ## Project Activity: The community released SINGA version 3.2.0 on 15th August 2021. The main features of this release include: 1. Add New examples. 2. Enhance distributed training. 3. Add Support for half-precision floating-point format (fp16) in deep learning models and computational kernels. 4. Update new onnx APIs and fix onnx examples accordingly, namely, DenseNet121, ShuffleNetv1, ShuffleNetv2, SqueezeNet, VGG19. 5. Add a new method to resize images by given width and height. 6. Use docusaurus versioning to simplify the process of generating the project homepage. Apart from this release, the community has been working on: 1. Adding more examples to cover a wider spectrum of distributed training applications. 2. Adding code implementations for SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. 3. Continue optimizing the distributed training. ## Community Health: According to the statistic, there are 48 PRs opened and 48 PRs closed on GitHub in the past quarter. Also, according to the statistic there are increase (47%) of email traffic.
