TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Benchmark and compare different methods for predicting time series data fairly and comprehensively.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
TFB has 1.7k stars on GitHub. It has been forked 122 times. TFB is written mainly in Shell. It has been in active development since 2024. TFB is available under the MIT license. Its main topics are benchmarking, deep-learning, mechine-learning, statistical-learning.
What is TFB?
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Is TFB open source?
TFB is an open-source project. It is released under the MIT license.
Is TFB free?
Yes. TFB is free and open source — you can use, modify and self-host it.
What license does TFB use?
TFB is available under the MIT license.
What language is TFB written in?
TFB is written mainly in Shell.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/decisionintelligence-tfb.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.