Lambda Deep Learning Demos

Welcome to Lambda Lab's deep learning demo suite -- the place to find ready-to-use machine learnig models. We offer the following cool features:

• A curate of open-source, state-of-the-art models that cover major machine learning applications, including image classification, image segmentation, object detection, image style transfer, text classification and generation etc.

• Pure Tensorflow implementation. Efforts are made to keep the boilplate consistent across all demos.

• Examples of transfer learning and how to adapt the model to new data.

• Model serving

Check this documents for details.

Applications

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Images Classification

Model	Dataset	Top 1 Accuracy	Pre-trained Model
ResNet32	CIFAR10	92%	Download
ResNet50 Fine-Tune	StanfordDogs	75.36%	Download
InceptionV4 Fine-Tune	StanfordDogs	92.4%	Download
NasNet-A-Large Fine-Tune	StanfordDogs	94.99%	Download

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Images Segmentation

Model	Dataset	Accuracy	Pre-trained Model
FCN	CamVid	86.6%	Download
U-Net	CamVid	86.9%	Download

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Object Detection

Model	Dataset	(AP) IoU=0.50:0.95	Pre-trained Model
SSD300	MSCOCO	21.9	Download
SSD500	MSCOCO	25.7	Download

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Style Transfer

Model	Dataset	Pre-trained Model
Fast Neural Style	MSCOCO	Download

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Text Generation

Model	Dataset	Pre-trained Model
Char RNN	Shakespeare	Download
Word RNN	Shakespeare	Download
Word RNN + Glove	Shakespeare	Download

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Text Classification

Model	Dataset	Classification Accuracy	Pre-trained Model
LSTM	IMDB	85.2%	Download
LSTM + Glove	IMDB	86.1%	Download
Transfer Learning + BERT	IMDB	92.2%	Download

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Citation

If you use our code in your research or wish to refer to the examples, please cite with:

@misc{lambdalabs2018demo,
  title={Lambda Labs Deep Learning Demos},
  author={Lambda Labs, inc.},
  howpublished={\url{https://github.com/lambdal/lambda-deep-learning-demo}},
  year={2018}
}