Popular GitHub Repositories for Thermal Printer

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

This repository contains the source code for the paper Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

Multi-modal Thermal Object Detector

Connects MCP to major 3D printer APIs (OctoPrint, Klipper, Duet, Repetier, Bambu, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, rotation, sectional editing, and base extension. Includes slicing and visualization.

Official implementation of the paper "Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion"

This source code implements our ECCV paper "task-conditioned domain adaptation for pedestrian detection in thermal imagery".

[IEEE FG'23] T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models

【CVPR2025】IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification

Official code of "Channel Split Convolutional Neural Network (ChaSNet) for Thermal ImageSuper-Resolution"

Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on the CoSES ProHMo Modelica framework, efficiently controls a building's heat pump and thermal storage valve.

Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets

The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"

Machine Learning Tool to Forecast Grid Frequency and Scheduled Power Generation of Thermal Power Plant.

This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.

[ICIP 2025] Official implementation of RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement

Neural Networks and Deep Learning Course Project

Hierarchy-boosted funnel learning for identifying semiconductors with ultralow lattice thermal conductivity

Android application for the real-time classification of FLIR One thermal camera images using a deep convolutional neural network built with TensorFlow. Part of my final year honours project.

I created an anomaly detection ML model with Edge Impulse that processes thermal images to detect unknown states of thermal readings and relays collected data to the cloud with the Blues Wireless Notecard.

Intelligent Power Management & Task Scheduling for Real-Time Embedded Systems | Reinforcement Learning meets DVFS for Maximum Efficiency