357 Open source projects that are alternatives of or similar to imbalanced-regression

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

Code repository for the online course Machine Learning with Imbalanced Data

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

Official code for UnICORNN (ICML 2021)

[NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition

NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

Synthetic Minority Over-Sampling Technique for Regression

Parametric Contrastive Learning (ICCV2021)

Estimate cost of code review using Machine Learning

A list of awesome resources on the application of machine learning in healthcare

R package for fast rolling and expanding linear regression models

A demo of a nurse scheduling model

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Vectorized Machine Learning in Python 🐍 From Scratch

A library for machine learning that builds predictions using a linear regression.

R interface to the HealthData.gov Data API

An alternative to MCMC for rapid analysis of models

I developed this android application to help beginner developers to know how to use Google Maps API and how to convert JSON data into Java Object.

Using AI to figure out cancer

ugtm: a Python package for Generative Topographic Mapping

Robust client registry for individuals receiving mental healthcare services.

Boosted trees in Julia

《机器学习之类别不平衡问题》文章代码

Agile Regression Analyzer

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

Online machine learning methods

3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.

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

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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

Java library to map LOINC-encoded test results to Human Phenotype Ontology

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Pneumonia Detection using machine learning - with PyTorch

A DynamoDB implementation of the FHIR Works on AWS framework, enabling users to complete CRUD operations on FHIR resources

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Beta Machine Learning Toolkit

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

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

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

A Python package for fitting Quinlan's Cubist regression model

This repository is deprecated and has not been maintained for months!

🏥 OpenMRS Radiology Module

R Code Examples Multi-dimensional/Panel Data

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

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

This mighty little deck of cards will change your health habits.

Predicting Google’s stock price using regression

The set of smoothing functions used for time series analysis and in forecasting.

Composer starter project for Ambulatory.

A command line regression testing framework for testing HTTP services

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

Massively Parallel and Asynchronous Architecture for Logic-based AI

An open source multi tenant cloud platform for small scale clinics

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

Securely synchronize any CareKit 2.1+ based app to a Parse Server Cloud. Compatible with parse-hipaa.

Multi-sample somatic variant caller

ICD-10 CM medical classification list by the World Health Organization