lightweight-model

CVPR 2026 (Main) | MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation

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

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.

BMVC 2025 (Main) Oral (3%) | AULUNet: An Adaptive Ultra-Lightweight UNet Framework for Efficient Skin Lesion Segmentation in Resource-Constrained Environments

Official repository for paper "Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet"

🔍 Enhance medical imaging with a lightweight CNN model that offers over 91% accuracy and integrated explainability for better clinical trust.

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 official repository for "GIVTED-Net: GhostNet-Mobile Involution ViT Encoder-Decoder Network for Lightweight Medical Image Segmentation."

A Lightweight OCR model and Engine for low computation devices, edge applications and embedded system

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

Lightweight Separable CNN Model for Fire Image Classification

Lightweight Siamese Network for Remote Sensing Building Change Detection | 轻量化孪生网络遥感建筑物变化检测（LEVIR-CD 数据集）

Official PyTorch implementation of MVLFireNet: a lightweight forest fire detection model with multi-granularity vision-language enhancement (Fire 2026, 9, 409).

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.

BSc thesis: energy and performance profiling of lightweight object detection models for autonomous vehicle perception. RAPL measurement scripts, raw results, and analysis.

🚀 Production-ready API for detecting toxic comments in Russian text, powered by a lightweight PyTorch CNN model (~5MB).

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.

Official implementation of LHRF-YOLO: A Lightweight Model with Hybrid Receptive Field for Forest Fire Detection (Forests 2025, 16, 1095). Built on Ultralytics YOLO.