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models.json
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models.json
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[
{
"@type": "/modelzoo.User",
"email": "[email protected]",
"password": "password"
},
{
"@type": "/modelzoo.User",
"email": "[email protected]",
"password": "password"
},
{
"@type": "/modelzoo.Model",
"model_name": "ImageNet Classification ResNet50",
"metadata": [
{ "key": "category", "value": "vision classification" },
{ "key": "author", "value": "Microsoft Research" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/image_r50/predict"
},
{ "key": "input_type", "value": "image" },
{ "key": "output_type", "value": "table" },
{ "key": "framework", "value": "PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/pdf/1512.03385.pdf"},
{ "key": "metric_ImageNet_top_5_error_%", "value": "5.25"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "OpenAI GPT2LMHeadModel",
"metadata": [
{ "key": "category", "value": "text generation" },
{ "key": "author", "value": "OpenAI" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/gpt2/predict"
},
{ "key": "input_type", "value": "text" },
{ "key": "output_type", "value": "text" },
{ "key": "framework", "value": "HuggingFace PyTorch" },
{ "key": "metric_Winograd_Schema_Challenge_accuracy_%", "value": "70.70"},
{ "key": "paper_link", "value": "https://blog.openai.com/better-language-models/"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "DeepMind BigGan 256",
"metadata": [
{ "key": "category", "value": "image generation" },
{ "key": "author", "value": "DeepMind" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/biggan/predict"
},
{ "key": "input_type", "value": "text" },
{ "key": "output_type", "value": "image" },
{ "key": "framework", "value": "HuggingFace PyTorch" },
{ "key": "paper_link", "value": "https://openreview.net/forum?id=B1xsqj09Fm"},
{ "key": "metric_ImageNet_Inception_Score_", "value":"171.4"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "XLNetLMHeadModel",
"metadata": [
{ "key": "category", "value": "text generation" },
{ "key": "author", "value": "Yang, et al." },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/xlnet/predict"
},
{ "key": "input_type", "value": "text" },
{ "key": "output_type", "value": "text" },
{ "key": "framework", "value": "HuggingFace PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/abs/1906.08237"},
{ "key": "metric_RACE_dataset_accuracy_%", "value": "81.75"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "ImageNet Classification ResNet18",
"metadata": [
{ "key": "category", "value": "vision classification" },
{ "key": "author", "value": "PyTorch" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/image_r18/predict"
},
{ "key": "input_type", "value": "image" },
{ "key": "output_type", "value": "table" },
{ "key": "framework", "value": "PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/pdf/1512.03385.pdf"},
{ "key": "metric_ImageNet_top_1_error_%", "value": "27.88"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "ImageNet Classification ResNet152",
"metadata": [
{ "key": "category", "value": "vision classification" },
{ "key": "author", "value": "PyTorch" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/image_r152/predict"
},
{ "key": "input_type", "value": "image" },
{ "key": "output_type", "value": "table" },
{ "key": "framework", "value": "PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/pdf/1512.03385.pdf"},
{ "key": "metric_ImageNet_top_5_error_%", "value": "4.49"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "Coco Detection Faster R-CNN",
"metadata": [
{ "key": "category", "value": "object detection" },
{ "key": "author", "value": "Microsoft Research" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/faster/predict"
},
{ "key": "input_type", "value": "image" },
{ "key": "output_type", "value": "table" },
{ "key": "framework", "value": "PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/abs/1506.01497"},
{ "key": "[email protected]_%", "value": "42.1"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "Coco Detection Keypoint R-CNN",
"metadata": [
{ "key": "category", "value": "object detection" },
{ "key": "author", "value": "PyTorch" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/keypoint/predict"
},
{ "key": "input_type", "value": "image" },
{ "key": "output_type", "value": "table" },
{ "key": "framework", "value": "PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/abs/1703.06870"},
{ "key": "metric_COCO_test-dev_mAP_%", "value":"62.7"}
]
},
{
"@type": "/modelzoo.Model",
"model_name": "Coco Detection Mask R-CNN",
"metadata": [
{ "key": "category", "value": "object detection" },
{ "key": "author", "value": "Facebook AI Research" },
{ "key": "service_type", "value": "clipper" },
{
"key": "clipper_url",
"value": "http://ec2-34-220-18-51.us-west-2.compute.amazonaws.com:10000/mask/predict"
},
{ "key": "input_type", "value": "image" },
{ "key": "output_type", "value": "table" },
{ "key": "framework", "value": "PyTorch" },
{ "key": "paper_link", "value": "https://arxiv.org/abs/1703.06870"},
{ "key": "metric_COCO_trainval35k_mAP_%", "value":"33.6"}
]
}
]