Popular GitHub Repositories for Loan Calculator

Cross-platform, customizable ML solutions for live and streaming media.

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

C# math expression library with symbolic computation support

A silly calculator unnecessarily powered by GPT

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Amazon SageMaker Solution for explaining credit decisions.

??Camera calculator with Vision

一个使用Flutter开发，支持诸多云平台AI大模型API调用的智能工作生活助手应用。除了常规大模型应用，还有极简记账、随机菜品、猫狗之家、waifu图片、MAL动漫排行、BGM动漫资讯、饮食健康等生活日常工具。

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

? MathCam is an Apple Calculator like math-solver with a twist of Computer Vision. Inspired by the iPad calculator.

Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

Applying machine learning to predict loan charge-offs on LendingClub.com

Personal Financial Forecasting Model

An intelligently dumb calculator that uses machine learning

A highly contextualized retrieval system integrating Large Language Models (LLMs), embeddings, and a dynamic agent-driven framework. Supports PDF and audio file processing, conversational memory, and tool integration (search, calculator). Features advanced HNSW indexing and reranking for accurate information retrieval.

Engineered an AI model utilizing advanced Computer Vision and Google Generative AI to solve math problems by recognizing hand gestures, offering real-time, accurate solutions through an intuitive interface inspired by Apple Tablet calculators.

A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (XGBoost, LightGBM, CatBoost) and Deep Neural Network are used to develop a binary classifier and their performances were compared.

This demo provides an automated loan application that streamlines document submission, verification, underwriting and approval processes.

Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

Objective is to develop a predictive model for a consumer finance company to identify potential loan defaulters. By analyzing historical loan data, & diff. data the factors that influences loan default rate.