Our great sponsors
-
ITMO University's Natural Systems Simulation Lab is integrating hackathons into education and research. One of its first results is an application of the AutoML framework called FEDOT that allows obtaining the result that impressed the expert board and brought the lab’s team a victory at a river flood forecasting hackathon organized by the Ministry of Emergency Situations. The final model is hybrid and combined several data-driven models and equation-based domain-specific models.
-
emergency_datahack_nss
The repository contains the data of the NSS lab team for the hackathon "Emergency DataHack"
The description of the participation is available in this post. The details of the final solution are described in githib.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Related posts
- Winning a Flood-Forecasting Hackathon with Hydrology and AutoML
- [P] FEDOT - AutoML framework for composite pipelines
- FEDOT framework for evolutionary design of composite pipelines
- Fine-tuning a Mistral Language Model with Anyscale
- MindsDB Docker Extension: Build ML powered apps at a much faster pace