AI Agent Skills

Chronos: Pretrained Models for Time Series Forecasting

Time series forecasting with PyTorch

Event-driven Automation Framework for Kubernetes

Event-driven application platform for Kubernetes

An algorithm to optimize database queries that run multiple times https://pubkey.github.io/event-reduce/

Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associate

Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.

Full-sized drag & drop event calendar in JavaScript

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

A python library for user-friendly forecasting and anomaly detection on time series.

Scalable and user friendly neural :brain: forecasting algorithms.

Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…

JavaScript event calendar. Modern alternative to fullcalendar and react-big-calendar.