Stars
[ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"
这是一个本地 GitHub 仓库，用于归档我在《人工智能基础》课程中的所有作业与实验。包含从搜索算法、知识表示到机器学习与深度学习的代码、报告与笔记，方便回溯、复现与持续迭代。
Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 2024].
JAX implementation of "Back to Basics: Let Denoising Generative Models Denoise" a.k.a. Just Image Transformers
Back to Basics: Let Denoising Generative Models Denoise
Reproducing Figure 2 from “Back to Basics: Let Denoising Generative Models Denoise”
The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
The official Python client for the Hugging Face Hub.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
ai studio code for pixel weather style
This is the official code of the paper "Few Shot Medical Image Segmentation with Cross Attention Transformer"
The official code of paper "Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition through Contrastive Learning" (AAAI 2025)
[AAAI 2026] Official implementation of "TimeMosaic: Information-Density Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding"
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
The collected data from a simulated driving environment
从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！
针对上海交大SSED-VIG数据集做的一个融合脑电和眼电的特征信息推断是否疲劳驾驶的网络
In this project, we implemented the EDJAN model for EEG-based cross-dataset driver drowsiness recognition. The proposed model achieved mean accuracies of 83.68% and 76.90% on the cross-dataset tran…
Dataset of EEG Data for drowsiness detection