Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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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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AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
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goscoreGo Scoring API for PMML
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supervised-machine-learningThis repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
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Jsmlt🏭 JavaScript Machine Learning Toolkit
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SporfThis is the implementation of Sparse Projection Oblique Randomer Forest
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Awesome Decision Tree PapersA collection of research papers on decision, classification and regression trees with implementations.
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ml经典机器学习算法的极简实现
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AdaptiveRandomForestRepository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
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Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
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onelearnOnline machine learning methods
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MachineLearningSeriesVídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
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graspEssential NLP & ML, short & fast pure Python code
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pmml4sPMML scoring library for Scala
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ai-servingServing AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
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syobocalSimle gem for Syboi Calendar
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EC-GANEC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
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sklearn-pmml-modelA library to parse and convert PMML models into Scikit-learn estimators.
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legitbot🤔 Is this Web request from a real search engine🕷 or from an impersonating agent 🕵️♀️?
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activerecord-setopsUnion, Intersect, and Difference set operations for ActiveRecord (also, SQL's UnionAll).
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ruby terraformA simple Ruby wrapper for invoking terraform commands.
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pmml4s-sparkPMML scoring library for Spark as SparkML Transformer
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ruby-sdk♦️ Ruby SDK to use the IBM Watson services.
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daru-iodaru-io is a plugin gem to the existing daru gem, which aims to add support to Importing DataFrames from / Exporting DataFrames to multiple formats.
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graphql-remote loaderPerformant remote GraphQL queries from within the resolvers of a Ruby GraphQL API.
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eqnA gem to evaluate mathematical equations.
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Github-Stars-PredictorIt's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
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kitchen-googleGoogle Compute Engine driver for Test-Kitchen
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gsrdGitHub Starred Repos Downloader
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rfvisA tool for visualizing the structure and performance of Random Forests 🌳
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aws-compute-decision-treeA decision tree to help you decide on the right AWS compute service for your needs.
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xforestA super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.
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RobustTrees[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
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bucky-coreSystem testing framework for web application.
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busser-serverspecA Busser runner plugin for the serverspec testing library
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cnn-rnn-classifierA practical example on how to combine both a CNN and a RNN to classify images.
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eight ballRuby gem for querying feature flags
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data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
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jekyll-gzipGenerate gzipped assets and files for your Jekyll site at build time
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dlime experimentsIn this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
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cheapmlMachine Learning algorithms coded from scratch
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tors⏬ Yet another torrent searching application for your command line
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