GPU-accelerated N-Body particle simulator with visualizer.
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Updated
Mar 31, 2024 - Python
GPU-accelerated N-Body particle simulator with visualizer.
"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)
Because of the COVID-19 pandemic of 2020, more and more people are concerned with protecting themselves using masks, thus the need of software capable of monitoring whether the people are wearing masks or not. That is why I created a Python application using OpenCV (with CUDA support) based on the YOLOv4 algorithm, capable of monitoring the safe…
Docker implementation of the Marker pdf to markdown
Real-Time ASR with CNN-BiLSTM: End-to-End Live Streaming Using PyTorch Lightning⚡
Docker implementation of the Surya OCR
Because of the COVID-19 pandemic of 2020, more and more people are concerned with protecting themselves using masks, thus the need of software capable of monitoring whether the people are wearing masks or not. That is why I created a Python application using OpenCV (with CUDA support) based on the YOLOv4 algorithm, more precisely the tiny option…
Stereo camera depth estimation with opencv and visualization in Open3D on jetson nano with CUDA support
AI platform that lets you predict trends, identify outliers in your userbase and predict individual user activity. Trained with a custom model that was developed by VolksHub.
A dynamic data race detector for CUDA programs
A modified WTA learning scheme with BindsNet
Docker implementation of the paper "Watermark Anything with Localized Messages"
Intention is a configuration driven Youtube\Twitch downloader, sound file diarizer, transcriber and automatic host match and labeler. It also contains auto-topic classifiers and bias detection.
Docker implementation of the VideoSeal
This repository presents a refined video summarization and sentiment analysis pipeline built entirely on video inputs using official Hugging Face models, including BLIP, SmolVLM (2.2B & 500M), XCLIP, and VideoMAE.
A simple side project that uses cagliostrolab/animagine-xl-3.1 and igdb to create images of anime characters with elements of specific games. Can be used as a profile picture generator.
Enhanced Qdrant MCP Server is a production-ready fork of the original that transforms the basic MCP server into an enterprise-grade solution with GPU acceleration, multi-vector support, and automated deployment infrastructure.
This Flask application utilizes the Pegasus Transformer model by Google for conditional text summarization. It allows users to input large text and receive a concise summary, making it ideal for processing articles, reports, or any long-form text data.
FracNeuPK: Fractional Neural Pharmacokinetics Simulator
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