reducer
Here are 14 public repositories matching this topic...
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
-
Updated
Nov 10, 2024 - Python
Reducer for similar simultaneously coroutines
-
Updated
Oct 4, 2023 - Python
This library implements several approximate scenario reduction algorithms. Given a probability distribution with finite support, they aim to determine a probability measure with support of reduced and fixed cardinality by selecting the closest to the original one in terms of a selected statistical distance.
-
Updated
Jun 6, 2023 - Python
Comparative Analysis Study of Hadoop (Distributed) and Python (Serial) Execution for Big Data Set.
-
Updated
Jan 13, 2022 - Python
Calculating Average Sentiment of Words/Tokens
-
Updated
Jul 2, 2023 - Python
Tools for permutations of associative elliptic curve operations using term rewriting
-
Updated
Dec 31, 2017 - Python
This is a very basic script to reduce the CLSID.list contents provided by ohpe with the Juicy Potato exploit.
-
Updated
Apr 17, 2021 - Python
"Mapper and Reducer" System Programming(CSE4100), Sogang University, 2019 Spring Season
-
Updated
Sep 8, 2021 - Python
Python_Practice: Within this repository, I embark on a personal journey dedicated to mastering Python. This dynamic environment is a testament to my commitment, featuring a diverse range of hands-on projects, challenging coding exercises, and in-depth practical applications. Each commit and code snippet is a step towards expertising my endeavour!
-
Updated
Oct 21, 2024 - Python
-
Updated
May 6, 2024 - Python
A Hadoop based Map-Reduce based SQL engine
-
Updated
Oct 15, 2020 - Python
This project focuses on finding storm events for the years 2012 to 2016 using the NOAA dataset and using hadoop to process the information.
-
Updated
Sep 18, 2019 - Python
Improve this page
Add a description, image, and links to the reducer topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the reducer topic, visit your repo's landing page and select "manage topics."