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🐧 A list of awesome Linux softwares
🇨🇳 GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
Cheat Engine. A development environment focused on modding
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
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…
基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core
TorchEEG is a library built on PyTorch for EEG signal analysis.
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
Indicator Stickynotes: Sticky notes for your Ubuntu desktop
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
Stable Diffusion web UI
Neuroexon presents a hybrid-BCI system that utilizes motor imagery (MI) and steady-state visual-evoked potential (SSVEP) to control a one degree of freedom arm exoskeleton which provides the user w…
BrainBot - a neural network model for controlling a vehicle from EEG (electrical activity of the brain) signal.
Python implementation of motor imagery real-time BCI paradigm for 3D control of UR5 manipulator and ROBOTIQ gripper, with unique control session paradigm.
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Attention temporal convolutional network for EEG-based motor imagery classification
Scalable and user friendly neural 🧠 forecasting algorithms.
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习