Popular GitHub Repositories for Bank Reconciliation

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

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)

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

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

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

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)

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

A modular bank customer churn predictor ML project leveraging Groq API, Streamlit, Supabase, SciPy, Plotly and EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

A mobile application enabling bank customers to be more climate conscious while strengthening their loyalty to the bank.

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

AI-powered quiz application for government exam preparation - Master SSC, UPSC, Bank exams, and more with personalized practice sessions!

This is an simple example of tagging bank transactions with ML.NET