Popular GitHub Repositories for Earthquake Early Warning

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

drowsiness detection

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

OpenVLThinker: An Early Exploration to Vision-Language Reasoning via Iterative Self-Improvement

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes.

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

An intelligent CLI tool that intercepts terminal errors and provides instant, context-aware solutions using LLM's. Transform natural language into terminal commands and never get stuck on cryptic error messages again! Currently in early development.

[Early Stages] Low level functional programming language with linear types, first class inline functions, levity polymorphism and regions.

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

A curated list of early exiting (LLM, CV, NLP, etc)

This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.