Popular GitHub Repositories for Motor Insurance

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

:helicopter: 保险行业语料库，聊天机器人

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

Comprehensive Compilation of Real-World LLM Implementation in Financial Services

Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

A curated list of AI cases in Finance, financial data sets, and research papers.

Sorting objects of different colors using robotic arm and using computer vision (image processing).

? A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees

An automatically updated feed with summaries of the best Habr.com articles generated by the YandexGPT neural network.

Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices

Towards Domain Free Transformer for Generalized EEG Pre-training

This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.