Hello all, The Apache MXNet (incubating) Community announces the availability of Apache MXNet (incubating) 1.3.0!
Release blog post: https://blogs.apache.org/mxnet/entry/announcing-apache-mxnet-incubating-1 https://medium.com/apache-mxnet/announcing-apache-mxnet-1-3-0-484ea78c22ad Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. This release improves usability, performance, and interoperability. A full list of the changes in this release can be found in the release notes: https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+%28incubating%29+1.3.0+Release+Notes A Link to the Download is here: https://www.apache.org/dyn/closer.cgi/incubator/mxnet/1.3.0 If you prefer to build from source and experiment with various compile-time configuration options, use this link to get the instructions: http://mxnet.incubator.apache.org/install/index.html Or You can download and play with MXNet easily using one of the options below: 1. The Pip packages can be found here: https://pypi.python.org/pypi/mxnet 2. The Docker Images can be found here: https://hub.docker.com/r/mxnet/python/ Links in Maven to the published Scala packages: https://repository.apache.org/content/repositories/releases/org/apache/mxnet/ https://repository.apache.org/#nexus-search;quick~org.apache.mxnet and to the experimental Clojure packages: https://repository.apache.org/content/repositories/releases/org/apache/mxnet/contrib/clojure/ The release tag used for the 1.3.0 release is: https://github.com/apache/incubator-mxnet/tree/1.3.0 Some more MXNet Resources: 1. Issues: https://github.com/apache/incubator-mxnet/issues 2. Wiki: https://cwiki.apache.org/confluence/display/MXNET If you want to learn more about MXNet visit http://mxnet.incubator.apache.org/ Finally, you are welcome to join and also invite your friends to the dynamic and growing MXNet community by subscribing to firstname.lastname@example.org Acknowledgments: We would like to thank everyone who contributed to the 1.3.0 release: Aaron Markham, Abhinav Sharma, access2rohit, Alex Li, Alexander Alexandrov, Alexander Zai, Amol Lele, Andrew Ayres, Anirudh Acharya, Anirudh Subramanian, Ankit Khedia, Anton Chernov, aplikaplik, Arunkumar V Ramanan, Asmus Hetzel, Aston Zhang, bl0, Ben Kamphaus, brli, Burin Choomnuan, Burness Duan, Caenorst, Cliff Woolley, Carin Meier, cclauss, Carl Tsai, Chance Bair, chinakook, Chudong Tian, ciyong, ctcyang, Da Zheng, Dang Trung Kien, Deokjae Lee, Dick Carter, Didier A., Eric Junyuan Xie, Faldict, Felix Hieber, Francisco Facioni, Frank Liu, Gnanesh, Hagay Lupesko, Haibin Lin, Hang Zhang, Hao Jin, Hao Li, Haozhi Qi, hasanmua, Hu Shiwen, Huilin Qu, Indhu Bharathi, Istvan Fehervari, JackieWu, Jake Lee, James MacGlashan, jeremiedb, Jerry Zhang, Jian Guo, Jin Huang, jimdunn, Jingbei Li, Jun Wu, Kalyanee Chendke, Kellen Sunderland, Kovas Boguta, kpmurali, Kurman Karabukaev, Lai Wei, Leonard Lausen, luobao-intel, Junru Shao, Lianmin Zheng, Lin Yuan, lufenamazon, Marco de Abreu, Marek Kolodziej, Manu Seth, Matthew Brookhart, Milan Desai, Mingkun Huang, miteshyh, Mu Li, Nan Zhu, Naveen Swamy, Nehal J Wani, PatricZhao, Paul Stadig, Pedro Larroy, perdasilva, Philip Hyunsu Cho, Pishen Tsai, Piyush Ghai, Pracheer Gupta, Przemyslaw Tredak, Qiang Kou, Qing Lan, qiuhan, Rahul Huilgol, Rakesh Vasudevan, Ray Zhang, Robert Stone, Roshani Nagmote, Sam Skalicky, Sandeep Krishnamurthy, Sebastian Bodenstein, Sergey Kolychev, Sergey Sokolov, Sheng Zha, Shen Zhu, Sheng-Ying, Shuai Zheng, slitsey, Simon, Sina Afrooze, Soji Adeshina, solin319, Soonhwan-Kwon, starimpact, Steffen Rochel, Taliesin Beynon, Tao Lv, Thom Lane, Thomas Delteil, Tianqi Chen, Todd Sundsted, Tong He, Vandana Kannan, vdantu, Vishaal Kapoor, wangzhe, xcgoner, Wei Wu, Wen-Yang Chu, Xingjian Shi, Xinyu Chen, yifeim, Yizhi Liu, YouRancestor, Yuelin Zhang, Yu-Xiang Wang, Yuan Tang, Yuntao Chen, Zach Kimberg, Zhennan Qin, Zhi Zhang, zhiyuan-huang, Ziyue Huang, Ziyi Mu, Zhuo Zhang. … and thanks to all of the Apache MXNet community supporters, spreading knowledge and helping to grow the community! Thanks! Apache MXNet (incubating) Team _______ DISCLAIMER: Apache MXNet (incubating) 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.