158 Open source projects that are alternatives of or similar to multi-imbalance

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

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Synthetic Minority Over-sampling Technique

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

Parametric Contrastive Learning (ICCV2021)

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

High performance model preprocessing library on PyTorch

geonamescache - a Python library for quick access to a subset of GeoNames data.

Real time face landmarking using decision trees and NN autoencoders

java math expression parser is faster than JEP

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

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Visual exploration of clustered data.

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Shape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures. SPHARM-PDM is a tool that computes point-based models using a parametric boundary description for the computing of Shape analysis.

DSP and filtering library

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

T-Reqs is a multi-language requirements file generator which also serves the purpose of preparing a template Dockerfile for working with Docker applications.

Singular Spectrum Analysis for time series forecasting in Python

A Python (v3.6.5) package that provides a set of basic functions commonly used in integrated photonics.

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

A data transformation package for deep learning with Autonomio, Keras and TensorFlow.

Firmware for self balancing ballbot

Misc Statistics and Machine Learning codes in R

AI Super - Resolution

A full pipeline AutoML tool for tabular data

Hyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations). It shows different possible bus…

Application programming interface of the Cuba Weather project implemented in Python

Vim plugin, insert or delete brackets, parentheses, and quotes in pairs

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

Podium: a framework agnostic Python NLP library for data loading and preprocessing

Synthetic Minority Over-Sampling Technique for Regression

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

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

🌳 Stacked Gradient Boosting Machines

RTSP video streaming server implementation based on Live555 and FFmpeg

An Interactive Approach to Understanding Supervised Learning Algorithms

Modular Tracking Framework

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

LNURL implementation for Python.

Python package for Customizable Data Preprocessing Pipelines

Building Decision Trees From Scratch In Python

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

Go Scoring API for PMML

Advanced Normalization Tools in R

PyTorch DataLoader processed in multiple remote computation machines for heavy data processings

Resampling Tools for Time Series Forecasting with Modeltime

Spatiotemporal resampling methods for mlr3

a delightful machine learning tool that allows you to train, test, and use models without writing code

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

A Python library for automating TOUGH2 simulations of subsurface fluid and heat flow

A lightweight library for designing and executing workflows in .NET Core

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Cygrid is a cython-powered convolution-based gridding module for astronomy

Automated Time Series Forecasting

Scripts for preprocessing the CoNLL-2005 SRL dataset.

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