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A learning hub with Deep Learning implementations

Home Page: http://boosungkim.github.io/dllab/

License: MIT License

Python 77.90% HTML 10.01% Ruby 1.02% SCSS 10.93% Shell 0.14%
deep-learning machine-learning pytorch

dllab's Introduction

DeepLearnLab

A learning hub for Machine Learning and Deep Learning paper implementations. Full site available at https://boosungkim.com/dllab.

About

Deep Learn Lab contains an accumulation of Pytorch implementations of popular papers and concepts. The project idea was inspired by the popular "Annotated Pytorch Paper Implementations." The paper implementation is considered "correct" and "complete" if the model behaves accordingly and produces an accuracy comparable to the experiments in the original paper.

Current Implementations

Image Classification

Object Detection

  • Faster RCNN

Basic Concepts/Tools

Experiments

Model Best Training Accuracy Best Test Accuracy
VGG16 93.4% 88.2%
ResNet 94.7% 88.5%
DenseNet 96.6% 88.7%
SE-ResNet 95.9% 88.6%

Credits

The model code implementations were completed by Boosung Kim. The website theme is based off of Moonwalk.

License

MIT

dllab's People

Contributors

boosungkim avatar

Stargazers

Daesung Kim avatar avatar

Watchers

Kostas Georgiou avatar avatar

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