James Chang

James Chang

Data Scientist and AI researcher ❤️ Statistics, ML/DL, Decision Making

By Categories

Papers 19

Papers

[BERT4Rec] Sequential Recommendation with Bidirectional Encoder Representations from Transformer

BERT4Rec Paper Review

[DeText] A Deep Neural Text Understanding Framework

DeText Framework Review

[LSTF-Linear] Are Transformers Effective for Time Series Forecasting

LSTF-Linear Paper Review & Code Implementation

[USAD] UnSupervised Anomaly Detection on Multivariate Time Series

USAD Paper Review & Code Implementation

[U-Net] Convolutional Networks for Biomedical Image Segmentation

U-Net Paper Review & Code Implementation

[FM] Factorization Machines

FM Algorithm Review & Code Example

[NeuMF] Neural Collaborative Filtering

NeuMF Paper Review & Code Implementation

[BERT] Pre-training of Deep Bidirectional Transformers for Language Understanding

BERT Paper Review & Code Example

[AutoRec] Autoencoders Meet Collaborative Filtering

AutoRec Paper Review & Code Implementation

[ViT] Transformers For Image Recognition at Scale

ViT Paper Review & Code Implementation

[Transformer] Attention Is All You Need

Transformer Paper Review & Code Implementation

[Buy It Again] Modeling Repeat Purchase Recommendations

Buy It Again Paper Review

[NMF] Non-negative Matrix Factorization

NMF Algorithm Review & Code Example

[YOLOv3] An Incremental Improvement

YOLOv3 Paper Review & Code Implementation

[Seq2Seq] Sequence to Sequence Learning with Neural Networks

Seq2Seq Paper Review & Code Implementation

[GoogLeNet] Going Deeper with Convolutions

GoogLeNet aka Inception Paper Review & Code Implementation

[VGG] Very Deep Convolutional Networks For Large-Scale Image Recognition

VGG Paper Review & Code Implementation

[Resnet] Deep Residual Learning for Image Recognition

Resent Paper Review & Code Implementation

[Alexnet] ImageNet Classification with Deep Convolutional Neural Networks

Alexnet Paper Review & Code Implementation

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