Popular GitHub Repositories for Bank Customers Churn

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Shared starter template configuration and CLAUDE.md memory bank system for Claude Code

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

WTTE-RNN a framework for churn and time to event prediction

Paper bank for Self-Supervised Learning

AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis

A decentralized, AI-driven system accelerating the Open Mainet Pi Network, connecting global banks for secure, efficient, and autonomous transactions.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Facelet-Bank for Fast Portrait Manipulation (pytorch)

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Automated Categorization: Utilizing the power of neural networks, this project offers an automated solution to categorize bank descriptions, reducing manual effort and enhancing efficiency while maintaining privacy.

Sound Related Deep Learning Tasks boosting repository with pytorch

Sales AI agent that talks with your customers, recommend products, book consultations, and process Stripe payments

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

Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

The Conversational Azure OpenAI (ChatGPT) Accelerator, from Microsoft partner Zammo.ai, uses OpenAI to improve customer experience by automating conversations and summarizations. This leverages Azure AI services, deploys to voice and text channels, and saves customers time creating UI, conversational flows, and API integrations.

Bank customers churn dashboard with predictions from several machine learning models.

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)