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Top 14 Python random-forest Projects
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
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decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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SaaSHub
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shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
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HDB_Resale_Prices
Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.
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TitanicPassangerSurvivalPredictor
A Web-App that uses Machine-Learning to predict a persons chances of surviving the Titanic Wreckage as a Passenger
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Unredactor
In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redact
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I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
Project mention: awesome-fraud-detection-papers: NEW Extended Research - star count:1346.0 | /r/algoprojects | 2023-05-13
Python random-forest related posts
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[D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
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Why do tree-based models still outperform deep learning on tabular data?
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Cold Showers
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Simple and embedded friendly C code for Machine Learning inference algorithms
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Regression with the C64
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Miceforest: Fast, Memory Efficient, Multiple Imputation by Chained Equations
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Show HN: Multiple Imputation with Lightgbm
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Index
What are some of the best open-source random-forest projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | orange | 4,619 |
2 | mljar-supervised | 2,941 |
3 | awesome-fraud-detection-papers | 1,554 |
4 | SMAC3 | 1,009 |
5 | awesome-gradient-boosting-papers | 981 |
6 | decision-forests | 651 |
7 | FastTreeSHAP | 493 |
8 | emlearn | 424 |
9 | miceforest | 313 |
10 | shapley | 211 |
11 | DroidDetective | 98 |
12 | HDB_Resale_Prices | 21 |
13 | TitanicPassangerSurvivalPredictor | 2 |
14 | Unredactor | 0 |
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