visions
hotstepper
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visions | hotstepper | |
---|---|---|
6 | 3 | |
194 | 14 | |
0.0% | - | |
0.0 | 3.2 | |
over 1 year ago | about 3 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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visions
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Complete Beginner tasked with ML at work - where do I start
This one works pretty well: https://github.com/dylan-profiler/visions
- Visions – User defined data type systems
- Show HN: Visions – User defined data type systems
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Show HN: DataProfiler – What's in your data? Extract schema, stats and entities
This is really cool! I'm glad there's more work going into the area - visions[1] is a similar tool which embeds the type system (user defined schema) into a traversable graph rather than encoding all type information in the trained network. We originally wrote it as the backend for pandas-profiling[2].
I'm not sure if any of the authors are on here but y'all might look into Sherlock[3] as well. They've got pre-trained models for many other semantic types than you've currently implemented.
1. https://github.com/dylan-profiler/visions
hotstepper
- HotStepper package, analysis of count and discontinuous data (queues, forex, trips etc.)
- The Hot Stepper library is for exploring datasets via step function expansions. It's all about tools that just work and no need for extensive knowledge of Pandas or Numpy or whatever, just HotStepper. Analysis and exploration should take less code!
What are some alternatives?
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
numpysane - more-reasonable core functionality for numpy
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
mlcourse.ai - Open Machine Learning Course
superset - Apache Superset is a Data Visualization and Data Exploration Platform
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
scikit-learn - scikit-learn: machine learning in Python
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
calculadora-do-cidadao - 💵 Tool for Brazilian Reais monetary adjustment/correction
datacompy - Pandas and Spark DataFrame comparison for humans and more!
compressio - Lossless in-memory compression of pandas DataFrames and Series powered by the visions type system. Up to 10x less RAM needed for the same data.