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.
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}
}