RAINNET SYSTEMS

Rainnet is building next generation network automation technology that will enable companies to transform their networks from being inflexible, brittle, vulnerable, and expensive to being agile, reliable, secure, and inexpensive.
RAINNET SYSTEMS
Industry:
Computer Information Technology Marketing Automation Software
Founded:
2013-01-01
Address:
Seattle, Washington, United States
Country:
United States
Website Url:
http://www.rainnet.com
Total Employee:
1+
Status:
Active
Contact:
(216)455-3216
Total Funding:
3 M USD
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Apple Mobile Web Clips Icon Content Delivery Network Microsoft Exchange Online Office 365 Mail Microsoft Azure DNS GoDaddy DNS
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Version 1
Version 1 provides a variety of IT solutions and services that impact customer's businesses.
Current Employees Featured
Founder
Official Site Inspections
http://www.rainnet.com
- Host name: 147.62.236.23.bc.googleusercontent.com
- IP address: 23.236.62.147
- Location: Mountain View United States
- Latitude: 37.4043
- Longitude: -122.0748
- Metro Code: 807
- Timezone: America/Los_Angeles
- Postal: 94043

More informations about "Rainnet Systems"
RainNet v1.0: a convolutional neural network for radar โฆ
In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep learning models, which were originally designed for binary โฆSee details»
GitHub - hydrogo/rainnet: RainNet: a convolutional neural โฆ
RainNet v1.0: a convolutional neural network for radar-based ...
In this study, we present RainNet, a deep convo-lutional neural network for radar-based precipitation now-casting. Its design was inspired by the U-Net and SegNet families of deep โฆSee details»
RainNet v1.0: a convolutional neural network for radar โฆ
Jun 11, 2020ย ยท In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep learning models,...See details»
RainNet v1.0: a convolutional neural network for radar โฆ
In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting, which was trained to predict continuous precipitation intensities at a lead time of 5 min. RainNet significantly โฆSee details»
RainNet v1.0: a convolutional neural network for radar-based ...
In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep โฆSee details»
RainNet v1.0: a convolutional neural network for radar โฆ
Mar 4, 2020ย ยท In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep learning models...See details»
RainNet | Proceedings of the 36th International Conference on โฆ
To alleviate these obstacles, we present the first large-scale spatial precipitation downscaling dataset named RainNet, which contains more than 62,400 pairs of high-quality low/high โฆSee details»
GitHub - neuralchen/RainNet: [NeurIPS 2022]RainNet: โฆ
Sep 8, 2024ย ยท Data preparation. Run the 'dataset_prepare_hdf5.py' to process the dataset into patches. In 'dataset_prepare_hdf5.py', variable 'dataset_path' sets the hdf5 file path of RainNet; 'patch_hdf5_root' sets the target path to save โฆSee details»
RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling
Dec 17, 2020ย ยท In order to facilitate the research on precipitation downscaling for deep learning, we present the first REAL (non-simulated) Large-Scale Spatial Precipitation Downscaling โฆSee details»
RainNet: A Large-Scale Imagery Dataset and Benchmark for
RainNet are organized in the form of image sequences (720 maps per month or 1 map/hour), showing complex physical properties, e.g., temporal misalignment, tem- poral sparse, and โฆSee details»
Samples in RainNet - GitHub Pages
To alleviate these obstacles, we present the first large-scale spatial precipitation downscaling dataset named RainNet, which contains more than 62,400 pairs of high-quality low/high โฆSee details»
RainNet v1.0 - ResearchGate
Jul 8, 2020ย ยท In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of โฆSee details»
Rainymotion and RainNet: optical flow and deep learning models โฆ
Rainymotion and RainNet: optical flow and deep learning models for radar-based precipitation nowcasting. Title: Rainymotion and RainNet: optical flow and deep learning models for radar โฆSee details»
RAINNET: A LARGE-SCALE IMAGERY DATASET FOR SPATIAL
14 RainNet are organized in the form of image sequences (720 maps per month or 15 1 map/hour), showing complex physical properties, e.g., temporal misalignment, 16 temporal โฆSee details»
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial ...
Dec 17, 2020ย ยท The first large-scale spatial precipitation downscaling dataset named RainNet is presented, which contains more than $62,400$ pairs of high-quality low/high-resolution โฆSee details»
RainNet v1.0: a convolutional neural network for radar-based ...
In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting. Its design was inspired by the U-Net and SegNet families of deep โฆSee details»
RainNet v1.0: a convolutional neural network for radar-based ...
Sep 2, 2020ย ยท In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting, which was trained to predict continuous precipitation โฆSee details»
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial ...
To illustrate the applications of RainNet, 14 state-of-the-art models, including deep models and traditional approaches, are evaluated. To fully explore potential downscaling solutions, we โฆSee details»