MlboxMLBox is a powerful Automated Machine Learning python library.
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Mutual labels: kaggle, classification, xgboost, lightgbm, regression
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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Mutual labels: classification, xgboost, h2o, regression
PycaretAn open-source, low-code machine learning library in Python
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Mutual labels: jupyter-notebook, gpu, regression, classification
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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Mutual labels: jupyter-notebook, classification, regression
Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Stars: ✭ 900 (+547.48%)
Mutual labels: jupyter-notebook, classification, regression
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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Mutual labels: jupyter-notebook, classification, regression
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
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Mutual labels: kaggle, jupyter-notebook, classification
Sru Deeplearning Workshopدوره 12 ساعته یادگیری عمیق با چارچوب Keras
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Mutual labels: jupyter-notebook, classification, regression
Interactive machine learningIPython widgets, interactive plots, interactive machine learning
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Mutual labels: jupyter-notebook, classification, regression
Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-38.13%)
Mutual labels: kaggle, jupyter-notebook, classification
Tensorflow cookbookCode for Tensorflow Machine Learning Cookbook
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Mutual labels: jupyter-notebook, classification, regression
Awesome Gradient Boosting PapersA curated list of gradient boosting research papers with implementations.
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Mutual labels: xgboost, lightgbm, h2o
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+606.47%)
Mutual labels: jupyter-notebook, classification, regression
H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Mutual labels: jupyter-notebook, gpu, h2o
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
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Mutual labels: kaggle, jupyter-notebook, xgboost
Openml RR package to interface with OpenML
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Mutual labels: jupyter-notebook, classification, regression
Machine Learning ProjectsThis repository consists of all my Machine Learning Projects.
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Mutual labels: jupyter-notebook, classification, regression
Open Solution Home CreditOpen solution to the Home Credit Default Risk challenge 🏡
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Mutual labels: kaggle, xgboost, lightgbm
Mli ResourcesH2O.ai Machine Learning Interpretability Resources
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Mutual labels: jupyter-notebook, xgboost, h2o