Hello Danielle, Apologies for the late response.
Our agenda is full. However, we were hoping that you could make your talk available to us as a recording of 15-20 minutes and send a link to the downloadable video by end of Friday? We will not be able to slot you in the agenda, however we can make the video available for attendees to view. We will also create a slack channel specifically for your talk where folks can ask questions to you directly. Would this be acceptable to you? If yes, please let us know and send the link to video recording, mp4, by end of Friday. Warm Regards Vartika On 2020/11/21 00:03:11, "Robinson, Danielle" <[email protected]> wrote: > Hello, > > I am including my abstract for my talk on GluonTS on MXNet Day. > > “We present the Gluon Time Series Toolkit (GluonTS), a Python library for > deep learning based time series modeling for ubiquitous tasks, such as > forecasting and anomaly detection. GluonTS simplifies the time series > modeling pipeline by providing the necessary components and tools for quick > model development, efficient experimentation and evaluation. In addition, it > contains reference implementations of state-of-the-art time series models > that enable simple benchmarking of new algorithms. “ > > Thank you, > > Danielle Robinson > > --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
