🍊 📊 💡 Orange: Interactive data analysis
An R Port of Stata's 'margins' Command
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
recheck for web apps – change comparison tool with local Golden Masters, Git-like ignore syntax and "Unbreakable Selenium" tests.
The foundational library of the Morpheus data science framework
Image To 3d Bbox
Build a CNN network to predict 3D bounding box of car from 2D image.
Scala Library/REPL for Machine Learning Research
Rust numeric library with R, MATLAB & Python syntax
Uci Ml Api
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Code and Resources for "Applied Machine Learning"
Snape 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.
A performant visual regression testing tool
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
A simple machine learning framework written in Swift 🤖
Applied Econometrics Library for Python
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Linear, IV and GMM Regressions With Any Number of Fixed Effects
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
Diagnostics for HierArchical Regession Models
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
GPstuff - Gaussian process models for Bayesian analysis
Artificial Neural Networks for Scala
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Tools for developing linear regression models
A high-level machine learning and deep learning library for the PHP language.
Conversion of R Regression Output to LaTeX or HTML Tables
R package to interface with OpenML
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing
Python3 project applying Gaussian process regression for forecasting stock trends
MLBox is a powerful Automated Machine Learning python library.
A Python library for time series forecasting
Measure and visualize machine learning model performance without the usual boilerplate.