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Daniel's Projects

006975 icon 006975

케라스 창시자에게 배우는 딥러닝

aerosolve icon aerosolve

A machine learning package built for humans.

albert-pytorch icon albert-pytorch

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

bed-reader icon bed-reader

A library for easy, fast, and efficient reading & writing of PLINK Bed files

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-for-rrc-absa icon bert-for-rrc-absa

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

bert-multi-gpu icon bert-multi-gpu

Feel free to fine tune large BERT models with Multi-GPU and FP16 support.

bert-pytorch-1 icon bert-pytorch-1

PyTorch implementation of BERT in "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

bp-estimation-mimic3 icon bp-estimation-mimic3

Crucial pieces of code for the BP estimation using MIMIC III database. Paper submitted to Sensors journal.

coatnet-pytorch icon coatnet-pytorch

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".

conv_seq2seq icon conv_seq2seq

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

cool-fashion-papers icon cool-fashion-papers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

cp-vton icon cp-vton

Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"

densenet-keras icon densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

dl-4-tsc icon dl-4-tsc

Deep Learning for Time Series Classification

dnabert icon dnabert

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

ecg icon ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

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