245 Open source projects that are alternatives of or similar to smogn

A repository of resources for understanding the concepts of machine learning/deep learning.

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

simple statistics for node & browser javascript

A performant visual regression testing tool

🔗 Methods for Correlation Analysis

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col 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.

Simple Genetic Programming for Symbolic Regression in Python3

IPython widgets, interactive plots, interactive machine learning

Apparel detection using deep learning

Machine Learning Concepts with Concepts

Rust numeric library with R, MATLAB & Python syntax

ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

Collection of stats, modeling, and data science tools in Python and R.

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Code for Java Deep Learning Cookbook

Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

R interface for Fixed Effect Models

A simple machine learning framework written in Swift 🤖

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

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).

A chess library for PHP.

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

The foundational library of the Morpheus data science framework

Regression range finder for Mozilla nightly builds

Scala Library/REPL for Machine Learning Research

A Jupyter notebook where I play with my Goodreads data

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Microeconometric estimation in Julia

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Machine learning for beginner(Data Science enthusiast)

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

All Machine Learning Algorithms

Code and Resources for "Applied Machine Learning"

REPO MOVED TO https://repetere.github.io/jsonstack-model - Deep Learning Classification, Clustering, LSTM Time Series and Regression with Tensorflow

🎓 Tidy tools for academics

🍊 📊 💡 Orange: Interactive data analysis

A Portfolio of my Data Science Projects

Jupyter Notebook presentation for class imbalance in binary classification

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

An R Port of Stata's 'margins' Command

Comparison tools

library of numerical methods using Armadillo

Applied Econometrics Library for Python

recheck for web apps – change comparison tool with local Golden Masters, Git-like ignore syntax and "Unbreakable Selenium" tests.

This repository consists of all my Machine Learning Projects.

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Linear, IV and GMM Regressions With Any Number of Fixed Effects

Math.NET Numerics

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

MATLAB code for Relevance Vector Machine using SB2_Release_200.

A New, Interactive Approach to Learning Data Science

LAMA - automatic model creation framework

(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

run a multitude of classifiers on you data and get an AUC report