The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance …

Lambda api that handles http request to get data from s3-netcdf

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel

Implementation of Convolutional LSTM in PyTorch.

PyTorch implementation of ENet

Official implementation of the Seq-U-Net for efficient sequence modelling

Yet another WaveNet implementation in PyTorch.

PyTorch implementation of UNet++ (Nested U-Net).

Unet plusplus for image segmentation and a simple baseline for training and test.

Sequence modeling benchmarks and temporal convolutional networks

Using PyTorch implementing UNet based on https://arxiv.org/abs/1505.04597

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Pytorch implementation of paper: FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting (VCIP2018).

A collection of various deep learning architectures, models, and tips

用Python处理我遇到的气象数据

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

Experiment code of ConvLSTM on Moving MNIST

pytorch implemention of trajGRU.