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Name: Hi
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Name: Hi
Type: User
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Paper Lists for Graph Neural Networks
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Repository for benchmarking graph neural networks
Homepage for STAT 157 at UC Berkeley
A deep learning toolbox to decode raw time-domain EEG.
BLS Code
Repo: IEEE TNSRE Article "Modeling EEG data distribution with a Wasserstein Generative Adversarial Network (WGAN) to predict RSVP Events" - Keras implementation
constrained extreme learning machine, IJCNN 2014
Repo for coursera specialization Advanced Machine Learning by Higher School of Economics
Repo for coursera specialization Applied Data Science with Python by University of Michigan
Repo for coursera specialization Machine Learning by University of Washington
Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection in CVPR 2019
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
A PyTorch toolbox for domain adaptation and semi-supervised learning.
Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient and high accuracy method for emotion classification using EEG data regardless of number of channels.
Keras implementation for Deep Embedding Clustering (DEC)
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Work in Progress -- Analyzing the MIMIC III Critical Care Database using TensorFlow deep learning models.
A collection of implementations of deep domain adaptation algorithms
Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)
本项目对中文版《动手学深度学习》中的代码进行了整理
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
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.