Popular GitHub Repositories for Shock Capturing

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

:unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

Real time capturing of Team's audio stream. Transcribe, Translate and make Sentiment Analysis of each speaker's audio stream. Have the (near) real time results on the Side Panel of the Team's meeting.

Multimodal Emotion eXpression Capture Amsterdam. Pipeline for capturing emotion expressions from multiple modalities (video, audio, text) in the wild.

Physics-informed neural networks for highly compressible flows ??

Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability

?️ OmniView is an advanced video viewing and recording application that offers a range of features including real-time object detection and screenshot capturing. This project uses the OpenCV library for camera connection and video processing, ensuring smooth and high-quality video streams

Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

Multi-Modal action recognition for skeleton sequences, inertial measurements, motion capturing data and Wi-Fi CSI fingerprints.

A work to improve CLIP's visual detail capturing ability by inverting the unCLIP generative model.

Python tool for capturing and logging human-computer interactions. Generate rich datasets for training multi-modal LLMs in autonomous computer control. Features screenshot, mouse, keyboard, and audio recording.

bchat is a lightweight, fully local Python utility for capturing AI-powered CLI chat logs from Visual Studio Code (and potentially Cursor-compatible). Designed for simplicity, it requires no external platforms or complex dependencies, making it easy to adapt to your environment.

This is a simple 2D chess game created using Unity game engine. The game is designed to be played by one player with an AI and AI vs AI. The game has the basic rules of chess implemented, including moves, capturing, and checkmate. The game has a simple user interface and graphics, and it can be easily customized and extended.

bchat is a lightweight, fully local Python utility for capturing AI-powered CLI chat logs from Visual Studio Code (and potentially Cursor-compatible). Designed for simplicity, it requires no external platforms or complex dependencies, making it easy to adapt to your environment.

MultiLingualVoice is an innovative application designed to bridge language barriers by capturing spoken words and rendering them in different languages. This tool empowers users to communicate effortlessly across diverse languages by transforming their spoken expressions into translated, high-quality audio in their desired language.

AI-powered, privacy-first “second brain” app for capturing, organizing, and rediscovering your knowledge. All data stored locally, with optional Google Gemini AI features.

Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields (IJCNLP-2017)