upczxy's Stars
Bei-Jin/STMFANet
suhangpro/epicflow
A Matlab wrapper for EpicFlow
yccyenchicheng/p2pvg
Implementation of ICCV 2019 paper: "Point-to-Point Video Generation". Paper: https://arxiv.org/abs/1904.02912
philipperemy/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
brunoklein99/deepar
An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
MSRDL/Deep4Cast
Probabilistic Multivariate Time Series Forecast using Deep Learning
wangtingwei1993/WMCNN
wavelet multiscale convolutional neural networks for aerial image super resolution
tamarott/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
maka89/Deep-Kernel-GP
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Alaya-in-Matrix/NeuralLinear
Multi-output Gaussian process regression via multi-task neural network
p-lambda/verified_calibration
Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
saideeptalari/Object-Detector
EnowshWong/Multi-step_Multivariate_Time_Series_Prediction
yuqirose/MultilinearGP
multilinear gaussian process regression
lihuiupc/HGAN-TyphoonCloudVisualPrediction
Typhoon Cloud Prediction, Future Image Generation, Hierarchical Generative Adversarial Networks
radams32/BombCyclone_Tracker
This repository implements simple routines to identify and build trajectories for bomb cyclones in gridded datasets.
TilakD/Cyclone-PSO-detection-tracking-and-prediction
pbharrin/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
lrhan/CIDH-caffe
This is a source code for cohesion intensive deep hashing (CIDH)
hangong/meanshift_matlab
A mean-shift clustering implementation for MATLAB/Octave