FFDN: fused fuzzy deep neural network (PyTorch)

Automatic Target Recognition using Fuzzy Neural Networks

Fuzzy Neural Network TSK (Takagi-Sugeno-Kang) with hybrid training and C-Means clustering.

Implementation of a General Fuzzy Min-Max Neural Network using numpy.

Large-scale Data Classification based on the Integrated Fusion of Fuzzy Learning and Graph Neural Network

this is the code for the paper "Hierarchical fuzzy neural networks with privacy preservation on heterogeneous big data"

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

Fuzzy-CNN comes to help improve the results of training on small data.

Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network

Fuzzy Deep Neural Network.

A fuzzy min max classifier introducing the concept of fuzzy neural networks.

[IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)

In this project, we propose a CNN-LSTM model to classify single-channel EEG for driver drowsiness detection. We designed a visualization technique by taking advantage of the hidden states output by…

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

This is a list of papers related to traffic agent trajectory prediction.

A selection of state-of-the-art research materials on trajectory prediction

A list of all public EEG-datasets

A Survey on Large Language Models for Software Engineering

扫描国内可用的谷歌翻译IP

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

if exists

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

[ICSE 2021] - InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

This module is to detect the bugs in TOSCA and Ansible Scripts.

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings