Kambakhsh-Eskandari's Stars
santosh9sanjeev/Image_Fusion
Image Fusion for better resolution
iamsh4shank/Imfusion
Image fusion using Discrete Wavelet Transformation
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
NehaK098/Prognostic-Predictions-post-Cardiac-Arrest
Predicted patient’s neurological outcome within 10 hours after resuscitation using an ensemble model of ANN and Xgb. Employed a twin model approach, one with emphasis on interpretability using Xgboost + Shap values and the other with emphasis on boosting sensitivity using a CNN-LSTM architecture.Identified new predictors from the patients qEEG signals that aids physician’s decision on withdrawal of life support which improved sensitivity from 36% to 71% with a 100% specificity
chanda1993/CNN-for-a-Regression-Machine-Learning-Algorithm-for-Predicting-Cognitive-Impairment-using-qEEG
Machine learning trained models with qEEG time-frequency images and age that could be used to assist clinicians as a biomarker in detecting cognitively impaired subjects at an early stage in clinical sectors.
ebrahimpichka/awesome-optimization
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
weitong8591/differentiable_ransac
PyTorch Implementation of the ICCV 2023 paper: Generalized Differentiable RANSAC ($\nabla$-RANSAC).
SharifiZarchi/Introduction_to_Machine_Learning
دورهی مقدمهای بر یادگیری ماشین، برای دانشجویان
shubhlohiya/playing-atari-with-deep-RL
SilenceOverflow/Awesome-SLAM
A curated list of SLAM resources
OpenSLAM/awesome-SLAM-list
awesome-SLAM-list
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
DjangoEx/awesome-python-resources
Awesome Python Resources
xuehaouwa/Awesome-Trajectory-Prediction
MarcoChain/Forward-Forward-Implementation
JinyuanLiu-CV/AGAL
Attention-guided Global-local Adversarial Learning for Detail-preserving Multi-exposure Image Fusion
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
thfylsty/imagefusion_Perceptual_FusionGan
Image fusion based on generative adversarial network consistent with perception <Information Fusion>
jiayi-ma/GANMcC
Codo of GANMcC: A Generative Adversarial Network with Multi-classification Constraints for Infrared and Visible Image Fusion
ycwang-libra/MFIF-GAN
This is an implementation for our paper "MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion".
Linfeng-Tang/SeAFusion
The code of " Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network"
hli1221/imagefusion-rfn-nest
RFN-Nest(Information Fusion, 2021, Highly Cited Paper) - PyTorch =1.5，Python=3.7
code-pan94/DI-GAN
bupt-ai-cz/LLVIP
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Maddy12/VideoLanguageModelRobustness
A large scale robustness analysis for video and text, multimodal models on the YouCook2 and MSRVTT datasets.
jiayi-ma/ResNetFusion
Infrared and visible image fusion via detail preserving adversarial learning
jiayi-ma/FusionGAN
FusionGAN: A generative adversarial network for infrared and visible image fusion
WeiWu-WIT/SDDGAN
hanna-xu/DDcGAN
Code of DDcGAN for infrared and visible image fusion and medical image fusion