wh28325 Goto Github PK

pretrained-models.pytorch

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

pyeeg

Python + EEG/MEG = PyEEG

pyriemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

python

All Algorithms implemented in Python

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

rgnn

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

sar-ship-dataset

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sentiment_analysis_fine_grain

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

sktime

A unified toolbox for machine learning with time series

sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

stsnet

Spatial Time Series processing with Neural Networks (STSnet)

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

time_series_augmentation

An example of time series augmentation methods with Keras

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

u-time

U-Time: A Fully Convolutional Network for Time Series Segmentation

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

voice_activity_detection

Voice Activity Detection based on Deep Learning & TensorFlow