learning2021 Goto Github PK

239chrono

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

amigos-emotion-classification

arl-eegmodels

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

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

benchmarking-gnns

Repository for benchmarking graph neural networks

benchmarking_dl_mimiciii

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

braindecode

A deep learning toolbox to decode raw time-domain EEG.

broad-learning-system

BLS Code

cc-wgan-gp

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

constrained extreme learning machine, IJCNN 2014

coronavirus_data

coursera-advanced-machine-learning-specialization

Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

coursera-machine-learning-specialization

Repo for coursera specialization Machine Learning by University of Washington

cvpr2019-maddog

Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection in CVPR 2019

d2l-zh

《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。

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

dcec

deap-jrp-emotion-classification

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.

dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-mimic

Work in Progress -- Analyzing the MIMIC III Critical Care Database using TensorFlow deep learning models.

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deephccr

Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

dive-into-deep-learning-pytorch-pdf

本项目对中文版《动手学深度学习》中的代码进行了整理

dive-into-dl-tensorflow2.0

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