breaking_cycles_in_noisy_hierarchies
pyDag
breaking_cycles_in_noisy_hierarchies | pyDag | |
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1 | 2 | |
71 | 24 | |
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10.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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breaking_cycles_in_noisy_hierarchies
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Elo for VCS – Founder's Choice
I think that's a pretty good idea. Have you checked out the paper "Breaking Cycles in Noisy Hierarchies"? It looks pretty similar to what you're looking for and the code is open source: https://github.com/zhenv5/breaking_cycles_in_noisy_hierarchi...
pyDag
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Data Engineering Projects for Beginners
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
- How to build a DAG based Task Scheduling tool for Multiprocessor systems using python
What are some alternatives?
Competitive-Python - Python Algorithms Package used in competitive programming
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
parallel-dfs-dag - A parallel implementation of DFS for Directed Acyclic Graphs (https://research.nvidia.com/publication/parallel-depth-first-search-directed-acyclic-graphs)
docker-livy - Dockerizing and Consuming an Apache Livy environment
pathfinding - Pathfinding library for rust
livyc - Apache Spark as a Service with Apache Livy Client
breaking_cycles_in_noisy_hierarchi
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.
trueskill - An implementation of the TrueSkill rating system for Python
p_tqdm - Parallel processing with progress bars
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.
data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)