Arch-Data-ScienceArchlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
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Mutual labels: mxnet, scikit-learn, xgboost, lightgbm
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
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Mutual labels: scikit-learn, xgboost, lightgbm
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (-64.43%)
Mutual labels: scikit-learn, xgboost, lightgbm
mloperatorMachine Learning Operator & Controller for Kubernetes
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Mutual labels: mxnet, scikit-learn, xgboost
OpenscoringREST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Stars: ✭ 536 (+259.73%)
Mutual labels: scikit-learn, xgboost, lightgbm
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
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Mutual labels: scikit-learn, xgboost, lightgbm
SynapseMLSimple and Distributed Machine Learning
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Mutual labels: pyspark, lightgbm, onnx
Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (+334.9%)
Mutual labels: scikit-learn, xgboost, lightgbm
M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Stars: ✭ 1,962 (+1216.78%)
Mutual labels: scikit-learn, xgboost, lightgbm
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (+1448.99%)
Mutual labels: scikit-learn, xgboost, lightgbm
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+1562.42%)
Mutual labels: scikit-learn, xgboost, lightgbm
MmlsparkSimple and Distributed Machine Learning
Stars: ✭ 2,899 (+1845.64%)
Mutual labels: pyspark, lightgbm, onnx
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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Mutual labels: scikit-learn, xgboost, lightgbm
NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
Stars: ✭ 127 (-14.77%)
Mutual labels: scikit-learn, xgboost, lightgbm
machine-learning-courseMachine Learning Course @ Santa Clara University
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Mutual labels: scikit-learn, pyspark, spark-ml
OnnxOpen standard for machine learning interoperability
Stars: ✭ 11,829 (+7838.93%)
Mutual labels: mxnet, scikit-learn, onnx
mtomoMultiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
Stars: ✭ 24 (-83.89%)
Mutual labels: mxnet, onnx
mlforecastScalable machine 🤖 learning for time series forecasting.
Stars: ✭ 96 (-35.57%)
Mutual labels: xgboost, lightgbm
handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (+91.28%)
Mutual labels: scikit-learn, xgboost
gluon2pytorchGluon to PyTorch deep neural network model converter
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Mutual labels: mxnet, onnx