tensorboard-reducer
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
@stdlib/utils-async-reduce
Apply a function against an accumulator and each element in a collection and return the accumulated result.
@stdlib/utils-reduce
Apply a function against an accumulator and each element in a collection and return the accumulated result.
@stdlib/utils-map-reduce-right
Perform a single-pass map-reduce operation against each element in an array while iterating from right to left and return the accumulated result.
@stdlib/utils-map-reduce
Perform a single-pass map-reduce operation against each element in an array and return the accumulated result.
@stdlib/utils-reduce-right
Apply a function against an accumulator and each element in a collection and return the accumulated result, iterating from right to left.
@stdlib/utils-reduce2d
Reduce the number of dimensions by one of a two-dimensional nested array by applying a function against an accumulator and each element along the innermost dimension and returning the accumulation results as a one-dimensional array.
utils-async-reduce-right
Apply a function against an accumulator and each element in a collection and return the accumulated result, iterating from right to left.
https://github.com/paulwilcox/fluent-data
Manipulate datasets by chaining methods. Includes capacity to map, filter, sort, group, reduce, and merge data. Built in reducers include multiple regression.
