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Name: Daniel
Type: User
Name: Daniel
Type: User
케라스 창시자에게 배우는 딥러닝
A machine learning package built for humans.
Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A library for easy, fast, and efficient reading & writing of PLINK Bed files
TensorFlow code and pre-trained models for BERT
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
Feel free to fine tune large BERT models with Multi-GPU and FP16 support.
Google AI 2018 BERT pytorch implementation
PyTorch implementation of BERT in "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Crucial pieces of code for the BP estimation using MIMIC III database. Paper submitted to Sensors journal.
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
keras implementation of CAGAN and its variants. The Conditional Analogy GAN: Swapping Fashion Articles on People Images
A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"
An image-based virtual try-on system with deep learning.
DenseNet implementation in Keras
DenseNet Implementation in Keras with ImageNet Pretrained Models
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
Deep Learning for Time Series Classification
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Dynamic pricing for selling perishable goods
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
ECG arrhythmia classification using a 2-D convolutional neural network
Denoise of ECG signal with machine learning
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.