1763 Open source projects that are alternatives of or similar to data-science-notes

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

Statistical Machine Intelligence & Learning Engine

Quantitative Interview Preparation Guide, updated version here ==>

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

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

R package to interface with OpenML

IPython widgets, interactive plots, interactive machine learning

Machine Learning in R

Applied Econometrics Library for Python

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

Math.NET Numerics

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

Measure and visualize machine learning model performance without the usual boilerplate.

Complete path for a beginner to become a Machine Learning Scientist!

📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

Rust numeric library with R, MATLAB & Python syntax

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Using Computer with your Statistics Major Course

Learn mathematics behind machine learning and explore different mathematics in machine learning.

Teaching Materials for Dr. Waleed A. Yousef

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

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

A Julia machine learning framework

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

A statistical framework that serves as a common interface to a large range of models

Python Machine Learning Algorithms

Probabilistic Programming and Statistical Inference in PyTorch

The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning

The repository provides usefull python scripts for ML and data analysis

Probabilistic deep learning for data streams.

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning

📙 The probability and statistics cookbook

🎓 Tidy tools for academics

An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

An implementation of multivariate projection pursuit regression and univariate classification

Multi-class confusion matrix library in Python

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

The foundational library of the Morpheus data science framework

An extensible framework for high-performance geostatistics in Julia

library of numerical methods using Armadillo

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

Mathematical preliminaries for machine learning

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

No description or website provided.

ugtm: a Python package for Generative Topographic Mapping

Add your favorite Anime with your name

A GAMA (http://gama-platform.org) model on the assessment and comparisons of intervention policies against the CoVid19 pandemics

List of Data Science and Machine Learning Resource that I frequently use

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Online machine learning methods

A open source book covering the foundational maths of deep learning and machine learning using TensorFlow

Quick definitions and intuitive explanations around machine learning.