Multimodal Deep Learning Framework for Mental Disorder Recognition @ FG'20

Generate statistical features from Electroencephalographic data

A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (w…

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension…

Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.

Python + EEG/MEG = PyEEG

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

A list of all public EEG-datasets

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Neo4j graph construction from unstructured data using LLMs

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

A modular graph-based Retrieval-Augmented Generation (RAG) system

Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Finetune Llama 3.2, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory

A setup to evaluate working memory using EEG signals

N-back experiment in Psychopy

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.