Omkar2118/datasets huggingface dataset:
Replication Data for: Online Learning with Optimism and Delay

The model forecasts for the sub-seasonal forecasting application considered in the Online Learning under Optimism and Delay paper experiments. This dataset consists of a single ZIP archive (919MB) that contains 1) a "models" folder that contains, for each model the forecasts for the Precip. 3-4w, Precip. 5-6w, Temp. 3-4w, Temp. 5-6w tasks on the western United States geography, and 2) a "data" folder that contains supporting geographic data. The data should be used to reproduce the PoolD experiments in https://github.com/geflaspohler/poold as described in the README. (2021-06-10)

Introducing paper: Online Learning with Optimism and Delay
GitHub-Python

Repair AST parse (syntax) errors in Python code

Introducing paper: Break-It-Fix-It: Unsupervised Learning for Program Repair