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:
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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.
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Pure Tensorflow implementation. Efforts are made to keep the boilplate consistent across all demos.
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Examples of transfer learning and how to adapt the model to new data.
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Model serving
Check this documents for details.
| 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 |
| Model | Dataset | Accuracy | Pre-trained Model |
|---|---|---|---|
| FCN | CamVid | 86.6% | Download |
| U-Net | CamVid | 86.9% | Download |
| Model | Dataset | (AP) IoU=0.50:0.95 | Pre-trained Model |
|---|---|---|---|
| SSD300 | MSCOCO | 21.9 | Download |
| SSD500 | MSCOCO | 25.7 | Download |
| Model | Dataset | Pre-trained Model |
|---|---|---|
| Fast Neural Style | MSCOCO | Download |
| Model | Dataset | Pre-trained Model |
|---|---|---|
| Char RNN | Shakespeare | Download |
| Word RNN | Shakespeare | Download |
| Word RNN + Glove | Shakespeare | Download |
| 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 |
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}
}