+Danielle On Thu, Dec 10, 2020 at 2:07 AM Vartika Singh <[email protected]> wrote: > > 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] >
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