mmmzmz19891205 Goto Github PK
Name: mmmzjhu
Type: User
Bio: love programming, male, china.
Location: china
Name: mmmzjhu
Type: User
Bio: love programming, male, china.
Location: china
Deep learning software to decode EEG or MEG signals
An implementation of Deep Forest 2021.2.1.
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
Removal of EOG artifacts from EEG using Adaptive Filtering
ADJUST method for EEG artifact rejection
Python implementation of FASTER method for EEG artifact rejection
Eye movement and blink-related EEG and MEG artifact correction algorithms
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Python implementation of deep forest method : gcForest
PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps
my first repository
27天成为Java大神
the data and ipython notebook of my attempt to solve the kaggle titanic problem
MWF-based EEG artifact removal in MATLAB
An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms
code of scattered practices when studying "machine-learning".
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
All Algorithms implemented in Python
Manousos A. Klados, Christos Papadelis, Christoph Braun, Panagiotis D. Bamidis, REG-ICA: A hybrid methodology combining Blind Source Separation and regression techniques for the rejection of ocular artifacts, Biomedical Signal Processing and Control, In Press, Corrected Proof, Available online 16 March 2011, ISSN 1746-8094, DOI: 10.1016/j.bspc.2011.02.001.
SincNet is a neural architecture for efficiently processing raw audio samples.
Sparse Learning via Efficient Projection (mirror copy of latest version in http://www.yelab.net/software/SLEP/)
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
Computation using data flow graphs for scalable machine learning
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
Kaggle Titanic competition in TensorFlow
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.