mrswolf Goto Github PK

optimaltransport.github.io

Web site of the Computational Optimal Transport book

p300_lstm

Demonstrate the code used in "Using Recurrent Neural Networks for P300-Based Brain-Computer Interface"

paralleltransportspdmanifold

parametric_tsne

Python / Tensorflow / Keras implementation of Parametric tSNE algorithm

physiological-synchrony-selective-attention

plotneuralnet

Latex code for making neural networks diagrams

pot

POT : Python Optimal Transport

practicalai

📚 A practical approach to machine learning.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

proxy-a-distance

Proxy A-Distance algorithm for measuring domain disparity in parallel corpora

psychopy

For running psychology and neuroscience experiments

psychopy-tutorials-for-bci

Tutorials for Brain-computer Interface in Psychopy

psygine

The best engine for cyberpsychos

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pygcn

Graph Convolutional Networks in PyTorch

pygsp

Graph Signal Processing in Python

pyhiwa

Alignment between clustered datasets via hierarchical Wasserstein distance

pyhooks

Python hooks for methods

python

All Algorithms implemented in Python

python-meegkit

MEEGkit: M/EEG processing toolkit in Python 🧠🔧

python-opengl

An open access book on Python, OpenGL and Scientific Visualization, Nicolas P. Rougier, 2018

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-gconv-experiments

Experiments with Group Equivariant Convolutions in PyTorch

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rasrmatlab

A Matlab Toolbox for correcting EEG artifacts using Riemannian Artifact Subspace Reconstruction.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

rgnn

The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"

riemannian-batch-normalization

Riemannian approach to batch normalization