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Beijing Normal University
- Beijing
- https://orcid.org/0000-0001-7851-3824
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Play atmospheric modelling like it's LEGO.
Hybrid ML + physics model of the Earth's atmosphere
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
PlantUML eaxmples for UML, ERD, wireframes, mind maps, JSON, YAML, WBS, ASCII art, Gantt charts, C4 models, and more
Get timezone via longitude and latitude in Go in a fast way
Apollo is a reliable configuration management system suitable for microservice configuration management scenarios.
Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.
一个简单的本地网页界面,使用ChatTTS将文字合成为语音,同时支持对外提供API接口。A simple native web interface that uses ChatTTS to synthesize text into speech, along with support for external API interfaces.
A generative speech model for daily dialogue.
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Excalidraw-CN 是支持中文手写和多画布的 Excalidraw 白板工具。Excalidraw-CN is a whiteboard supporting Chinese hand draw font and multi-canvas based on Excalidraw.
Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Scalable machine 🤖 learning for time series forecasting.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
A new markup-based typesetting system that is powerful and easy to learn.
A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.
GEO-Bench: Toward Foundation Models for Earth Monitoring
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
A third-party project that aims to facilitate the integration between Obsidian.md and Zotero, by providing a set of community plugins for both Obsidian and Zotero.
The source code of the SOTA Dynamic Graph Reformer model for weather station prediction.