xgboost
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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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May 20, 2022 - Python
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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Jun 23, 2020 - Python
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
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May 25, 2022 - Java
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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May 1, 2022 - Jupyter Notebook
Is your feature request related to a problem? Please describe.
Implements classification_report for classification metrics.(https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html)
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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Jun 3, 2022 - C++
Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.
This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning
A python library for decision tree visualization and model interpretation.
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Apr 29, 2022 - Jupyter Notebook
A collection of research papers on decision, classification and regression trees with implementations.
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Mar 2, 2022 - Python
I trained models on Windows, then I tried to use them on Linux, however, I could not load them due to an incorrect path joining. During model loading, I got learner_path in the following format experiments_dir/model_1/100_LightGBM\\learner_fold_0.lightgbm. The last two slashes were incorrectly concatenated with the rest part of the path. In this regard, I would suggest adding something like `l
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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Aug 19, 2019 - R
Provide an input CSV and a target field to predict, generate a model + code to run it.
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Oct 22, 2019 - Python
[UNMAINTAINED] Automated machine learning for analytics & production
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Feb 10, 2021 - Python
MLBox is a powerful Automated Machine Learning python library.
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May 26, 2022 - Python
A curated list of gradient boosting research papers with implementations.
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Mar 2, 2022 - Python
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Apr 28, 2022 - Python
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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Jan 20, 2021 - Python
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
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Jan 30, 2020
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
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Feb 23, 2022 - Java
AI比赛相关信息汇总
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May 23, 2022
H2O.ai Machine Learning Interpretability Resources
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Dec 12, 2020 - Jupyter Notebook
Open solution to the Home Credit Default Risk challenge
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Jul 1, 2019 - Python
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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May 22, 2022 - Python
MLOps for AWS SageMaker
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Apr 27, 2022 - Python
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Jun 1, 2022 - Python
Real time eye tracking for embedded and mobile devices.
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Sep 4, 2019 - C++
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Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.