433 Open source projects that are alternatives of or similar to models-by-example

COX Proportional risk model and survival analysis implemented by tensorflow.

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

zAnalysis是基于Pascal语言编写的大型统计学开源库

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Testing doing basic regression with web assembly

Code for Learned Turbo-ype Affine Rank Minimization

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

Machine Learning Procedures and Functions for Neo4j

A C++ library of Markov Chain Monte Carlo (MCMC) methods

This 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…

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Combining tree-boosting with Gaussian process and mixed effects models

Linear image-to-image translation

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Examples for Bayesian inference using DynamicHMC.jl and related packages.

A didactic Gaussian process package for researchers in Jax.

Solve many kinds of least-squares and matrix-recovery problems

Basic Machine Learning implementation with python

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

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

Pan-sharpening in the Earth Engine code editor

Exploratory analysis of Bayesian models with Julia

Sentiment Analysis & Topic Modeling with Amazon Reviews

MTfit code for Bayesian Moment Tensor Fitting

Basis Function Expansions for Julia

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Streaming, Memory-Limited, r-truncated SVD Revisited!

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

Bayesian Generalized Linear Models with Time-Varying Coefficients

Application of the L2HMC algorithm to simulations in lattice QCD.

Heart Disease Analysis repository

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Latent Dirichlet Allocation

system performance characterization tool based on linux perf

No description or website provided.

BAS R package https://merliseclyde.github.io/BAS/

a deep recurrent model for exchangeable data

sopt:A simple python optimization library

Notebooks for SMLP2021

All the convenience of lme4 in python

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

Bindings for Bayesian TidyModels

Fast Best-Subset Selection Library

Probabilistic Programming with Gaussian processes in Julia

Functions for phylogenetic analyses

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Mini stats toolkit for Clojure/Script

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

Federated Principal Component Analysis Revisited!

Using Computer with your Statistics Major Course

This package performs 3D non-rigid image registration for medical and synthetic images using truncated hierarchical B-splines (THB-Splines)

Workshop on using Mixed Models with R

A common framework for implementing and using log densities for inference.

Bayesian nonparametric models for python

The Trendiness of Trends