Implementation of Weakly Orthogonal Conjugate Contrast Analysis, with code for related EEG data analysis

Scalable and user friendly neural 🧠 forecasting algorithms.

The Open-Source Data Annotation Platform

Data annotation toolbox supports image, audio and video data.

万卷1.0多模态语料

A Comprehensive Toolkit for High-Quality PDF Content Extraction

A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

OpenNeuro dataset - Modeling short visual events through the BOLD Moments video fMRI dataset and metadata.

A Library for Advanced Deep Time Series Models.

We turn natural language descriptions of behaviors into machine-executable code

[Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series

Toward Fully-End-to-End Listened Speech Decoding from EEG Signals (Interspeech 2024)

Official implementation of UPOCR: Towards unified pixel-level OCR interface (ICML 2024)

CNN-Former model with EEG-ME for SSVEP classification

A game theoretic approach to explain the output of any machine learning model.

Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

Pre-trained Transformer on Brain Signals

Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"

The official code 👩‍💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Explore the differences between sliding window and full-epoch models on MEG data and use PFI to uncover neuroscientific insights.

[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"