Mlj.jlA Julia machine learning framework
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Php MlPHP-ML - Machine Learning library for PHP
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MlrMachine Learning in R
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PycaretAn open-source, low-code machine learning library in Python
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MetriculousMeasure and visualize machine learning model performance without the usual boilerplate.
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Openml RR package to interface with OpenML
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AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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MlboxMLBox is a powerful Automated Machine Learning python library.
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MlA high-level machine learning and deep learning library for the PHP language.
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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LightautomlLAMA - automatic model creation framework
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RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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Moderndive bookStatistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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PycmMulti-class confusion matrix library in Python
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DeepfashionApparel detection using deep learning
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DynamlScala Library/REPL for Machine Learning Research
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TgcontestTelegram Data Clustering contest solution by Mindful Squirrel
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LazypredictLazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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Color recognition🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
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R-Machine-LearningD-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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onelearnOnline machine learning methods
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stgPython/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
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Applied MlCode and Resources for "Applied Machine Learning"
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Fuku MlSimple machine learning library / 簡單易用的機器學習套件
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Automlpipeline.jlA package that makes it trivial to create and evaluate machine learning pipeline architectures.
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ugtmugtm: a Python package for Generative Topographic Mapping
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InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
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projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
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TsfelAn intuitive library to extract features from time series
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pywedgeMakes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
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data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
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100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
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SnapeSnape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.
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Tensorflow ResourcesCurated Tensorflow code resources to help you get started with Deep Learning.
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wymlptiny fast portable real-time deep neural network for regression and classification within 50 LOC.
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Go DeepArtificial Neural Network
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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