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pyaudioanalysis icon pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pyauto icon pyauto

《python自动化运维:技术与最佳实践》书中示例及案例源码

pycaret icon pycaret

An open-source, low-code machine learning library in Python

pydub icon pydub

Manipulate audio with a simple and easy high level interface

pyinstaller icon pyinstaller

Freeze (package) Python programs into stand-alone executables

pyod icon pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pypots icon pypots

A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.

pyprofiling icon pyprofiling

通达信股票数据处理,股价预测,性能分析,特征选择

pytea icon pytea

PyTea: PyTorch Tensor shape error analyzer

python icon python

All Algorithms implemented in Python

python-binance icon python-binance

Binance Exchange API python implementation for automated trading

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

pytorch-cifar100 icon pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-handbook icon 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-openpose icon pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

pytorch-transformer-for-rul-prediction icon pytorch-transformer-for-rul-prediction

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

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