mhmd-81/Starling
Resource
Can I trust it?
Worth a closer look before you use it.
Warnings Check
Very new: it was created 4 days ago. Wait a little before installing it.
Stars from real accounts No data
We haven't checked its stars for fakes yet.
Active OK
Last change today.
Licence OK
MIT: you can use it for free, also in a commercial product. Keep the licence notice.
Quick checks from public data. They help, but they are no guarantee.
What it is
Research project investigating how different retraining strategies affect time-series anomaly detection when the data drifts over time. Uses NASA SMAP/MSL telemetry data from the Telemanom project as its evaluation data.
Who it's for
Researchers and ML engineers studying concept drift and retraining strategies for time-series anomaly detection
How to use it
Ask your AI to set it up
Paste this into Claude, ChatGPT or your coding assistant.
Help me install and set up mhmd-81/Starling in my project. Follow its README: https://github.com/mhmd-81/Starling. Explain each step and check it is safe before running anything.
Star curve
Get alerts for repos like this
We'll email you when something in Models & inference starts rising. Free, once a week, only what matches.
21,402 GitHub repos watched and ranked every hour. Figures as of 27 October 2026.
What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy
For maintainers
Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.
[](https://repoalerts.com/repo/mhmd-81/Starling?ref=badge)Similar repos
- TencentARC/Looking-Ahead
Research code and model weights for Future Chunk Prediction, a training method for autoregressive video generation. Auxiliary branches predict temporally distant video chunks from intermediate feature
- zjwfufu/SMD
A research codebase implementing SMD, an on-policy distillation method that trains few-step diffusion students from teacher models. It provides training configurations and inference scripts for image,
- zadescoxp/Temporal-Fusion-Transformer-Price-Prediction
A local research tool that trains one Temporal Fusion Transformer per ticker on daily prices from 2010 onward. It forecasts 252 trading sessions with 10-90% price bands, a long-or-flat signal after tr
- ecklein/modeldiff-ml
Compares two machine learning models observation by observation and finds readable data regions where a candidate model behaves worse or better than a baseline, validating them on independent data. Ou
- mistralai/timestral
Standalone inference code for Timestral, a family of time series foundation models for multivariate probabilistic forecasting. It supports past-only, known-future and categorical covariates, outputs 2
- StartLuxLabs/DecisionPivot
A diagnostic benchmark for decision models in LLM systems. It provides 13 program-generated task families of contrast pairs that differ in one decisive detail, seeded generators with independent solve