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Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Python + EEG/MEG = PyEEG
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface
All Algorithms implemented in Python
Pytorch implementation of convolutional neural network visualization techniques
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, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
《Pytorch模型训练实用教程》中配套代码
The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
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.
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
A unified toolbox for machine learning with time series
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
手写实现李航《统计学习方法》书中全部算法
Spatial Time Series processing with Neural Networks (STSnet)
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
An example of time series augmentation methods with Keras
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A TensorFlow Implementation of the Transformer: Attention Is All You Need
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
U-Time: A Fully Convolutional Network for Time Series Segmentation
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Voice Activity Detection based on Deep Learning & TensorFlow
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.