326 Open source projects that are alternatives of or similar to AI-cheat-sheet

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

A Java library that trains neural networks with a genetic algorithm.

Bayesian neural networks in PyTorch

LIBSVM bindings for Julia

Mini stats toolkit for Clojure/Script

Machine Learning algorithms coded from scratch

Functions for phylogenetic analyses

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Support four arithmetic operations, Excel formulas, and support custom parameters. 支持四则运算、Excel公式语法，并支持自定义参数。

Stata-like Regression Functionality for R

Create Maya node-network by entering a math-formula.

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Estimate cost of code review using Machine Learning

Linear Regression for Julia

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

Geodesy PHP - Port of some known geodesic/math functions for getting distance from a known point A to a known point B given their coordinates. It also supports conversion between units of length, Polar position to Cartesian coordinates, and different Reference Datums.

R package for fast rolling and expanding linear regression models

Misc Statistics and Machine Learning codes in R

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

Ordered Weighted L1 regularization for classification and regression in Python

Multi-core BUGS for fast Bayesian inference of large hierarchical models

TypeScript/javascript spreadsheet parser, with formulas.

A Julia package for estimating ARMA-GARCH models.

Statistical Rethinking course in pymc3

An alternative to MCMC for rapid analysis of models

Implementations of the ICML 2017 paper (with Yarin Gal)

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

An Interactive Approach to Understanding Supervised Learning Algorithms

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

A Python package for fitting Quinlan's Cubist regression model

Materials of the Nordic Probabilistic AI School 2019.

arxiv.org/abs/1801.07710v2

Synthetic Minority Over-Sampling Technique for Regression

MTfit code for Bayesian Moment Tensor Fitting

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

Vectorized Machine Learning in Python 🐍 From Scratch

R interface for Fixed Effect Models

Bayesian Generalized Linear Models with Time-Varying Coefficients

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

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

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

Latent Dirichlet Allocation

library of numerical methods using Armadillo

javascript nodejs excel formula parser

MATLAB code for Relevance Vector Machine using SB2_Release_200.

A command line regression testing framework for testing HTTP services

A Jupyter notebook where I play with my Goodreads data

Parse and evaluate MS Excel formula in javascript.

Basis expansion transformers in sklearn style.

Multi-sample somatic variant caller

OpenSource Web based spreadsheet

Journal-style regression tables

Fast & numerically stable statistical analysis

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)