Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"

Google Research

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

download google map, gaode map, esri map xyz to tiff,pdf batch transfer to docx

List of papers, code and experiments using deep learning for time series forecasting

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python and JavaScript bindings for calling the Earth Engine API.

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

The Project is real time application in opencv using first order model