GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction
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Updated
Jul 23, 2023 - Python
GCNfold: A novel lightweight model with valid extractors for RNA secondary structure prediction
AudioMuse-AI-DCLAP is a lightweight, high-speed distilled version of LAION CLAP, designed for fast and efficient text-to-music search
Official repository for paper "Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet"
The official repository for "GIVTED-Net: GhostNet-Mobile Involution ViT Encoder-Decoder Network for Lightweight Medical Image Segmentation."
A minimal YOLOv8n-based object detection project using the lightweight Nano version of the model for fast and efficient training and inference on small datasets like coco128.
Rule-based NLP chatbot using TF-IDF & cosine similarity over 1000+ real-world QnA — fast, offline & LLM-free.
FMCNet: Enhancing Anime Image Super-Resolution through Frequency-Aware Multi-Scale Consistency
🔍 Enhance medical imaging with a lightweight CNN model that offers over 91% accuracy and integrated explainability for better clinical trust.
A lightweight Few-Shot Image Classifier built with PyTorch, capable of recognizing new classes from just a few examples using prototype-based learning. Designed for easy model export and integration.
A lightweight Explainable AI CNN for PathMNIST medical imaging, achieving 91%+ accuracy with Integrated Gradients and SQLite-based attribution storage. Built in PyTorch, this scalable model delivers high performance, transparency, and real-world readiness, making it ideal for medical AI, edge deployment, and explainable deep learning research.
the purest edition of Sphere. An Autonomous Metabolic Information Infrastructure for AI Agents Sphere is not a database. It is a circulation system — knowledge enters, gets evaluated by AI agents, crystallizes or fades, and moves on. Intelligence is never stored here; it passes through.
HMHCNN-mCBAM-for-Forest-Fire-Detection Hierarchical CNN with attention for aerial forest fire classification using UAV imagery.
🚀 Production-ready API for detecting toxic comments in Russian text, powered by a lightweight PyTorch CNN model (~5MB).
📄 Lightweight Q&A chatbot for PDF, DOCX, and TXT files. Built with Streamlit, LangChain, HuggingFace, and ChromaDB — no large LLMs required.
Task-Aware Dynamic Model Optimization for Multi-Task Learning (IEEE Access 2023)
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