The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy

Submanifold sparse convolutional networks

Sparse Blocks Networks

Deep Adaptive Input Normalization for Time Series Forecasting

Deep learning ECG models implemented using PyTorch

An unsupervised domain adaptation scheme for ECG heartbeat classification.

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification

Application of deep learning and convolutional networks for ECG classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

MIT-BIH data preprocessing and a sample deep model

A framework for financial systemic risk valuation and analysis.

[Paper] Repository for “Realistic Face Reconstruction from Deep Embeddings," published in NeurIPS PriML 2021.

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

FaRL for Facial Representation Learning [Official, CVPR 2022]

An attempt to use KAN

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

[WACV 2024] DREAM: Visual Decoding from Reversing Human Visual System

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

《深度学习入门：基于Python的理论与实现》电子版及配套代码​。​

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Model ARMA process for stock price and compare it with RNN results

Resting state HRF estimation from BOLD-fMRI signal

Haemodynamic Response Function estimation from fMRI in Python

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Kolmogorov Arnold Networks

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