Popular GitHub Repositories for Lattice Thermal Conductivity

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

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

ASR with PyTorch

3D CNN to predict single-phase flow velocity fields

Multi-modal Thermal Object Detector

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

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

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

【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.

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

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

Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation

Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks https://arxiv.org/abs/1910.11933 or https://ieeexplore.ieee.org/document/9053264

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.

Neural Networks and Deep Learning Course Project