distance-metrics VS pyDag

Compare distance-metrics vs pyDag and see what are their differences.

distance-metrics

Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points (by Wittline)
distance-metrics Machine Learning Python similarity-measures
Source Code
wittline.github.io
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pyDag

Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
Big Data Bigquery Cloud Dag data-engineering data-pipeline dataengineering dataproc dataproc-cluster directed-acyclic-graph google-cloud google-cloud-platform parallel-processing task-scheduler task-scheduling Workflow engine
Source Code
wittline.github.io
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distance-metrics pyDag
1 2
4 24
- -
3.6 0.0
almost 2 years ago over 1 year ago
Jupyter Notebook Python
Apache License 2.0 Apache License 2.0
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distance-metrics

Posts with mentions or reviews of distance-metrics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

pyDag

Posts with mentions or reviews of pyDag. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing distance-metrics and pyDag you can also consider the following projects:

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

docker-livy - Dockerizing and Consuming an Apache Livy environment

livyc - Apache Spark as a Service with Apache Livy Client

data-engineer-challenge - Challenge Data Engineer

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)

p_tqdm - Parallel processing with progress bars

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies

wbz - A parallel implementation of the bzip2 data compressor in python, this data compression pipeline is using algorithms like Burrows–Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. For now, this tool only will be focused on compressing .csv files, and other files on tabular format.

distance-metrics vs recommendation-system pyDag vs docker-livy distance-metrics vs docker-livy pyDag vs livyc distance-metrics vs data-engineer-challenge pyDag vs pubsub2inbox distance-metrics vs data-engineering-challenge-th pyDag vs p_tqdm distance-metrics vs Dropout-Students-Prediction pyDag vs breaking_cycles_in_noisy_hierarchies pyDag vs wbz pyDag vs data-engineering-challenge-th