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Data from an integrated fishery meteorological information service terminal based on end-side deep learning technology
Simple, fast and typesafe Java actor model implementation
Redis 7.0.5 版本——中文注释,持续更新!欢迎参与本项目!🍭🍭🍭
📖 根据 RSS 订阅源定时抓取前沿 AIGC / GPT / LLM 相关文章,并实时更新至对应网站。来源:机器之心 / 量子位 / 新智元 / 腾讯AI实验室 / PaperWeekly / 我爱自然语言处理 / AIGC研修社 / ChatGPT
AI 蜂巢,基于 Java 使用 Spring Boot 3 和 JDK 17,支持的功能有 ChatGPT、OpenAi Image、Midjourney、NewBing、文心一言等等
The machine learning toolkit for time series analysis in Python
An innovative short-term multihorizon photovoltaic power output forecasting method based on variational mode decomposition and a capsule convolutional neural network
This repository includes the code for the paper titled as "Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations".
Automatic extraction of relevant features from time series:
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
An intuitive library to extract features from time series.
R package for Tools for Handling Extraction of Features from Time series (theft)
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Echo state network implementation on tensorflow
A unified framework for machine learning with time series
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A Library for Advanced Deep Time Series Models.
Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.