frameworks.json

[
	{
		"language": "Java",
		"endung": [".java"],
		"frameworks":[
			
			{
			"name": "Apache SINGA",
			"header": ["import org.apache.singa."]
			},
			{
			"name": "Deeplearning4j",
			"header": ["import org.deeplearning4j."]
			},
			{
			"name": "Intel Data Analytics Acceleration Library",
			"header": ["import com.intel.daal."]
			},
			{
			"name": "TensorFlow",
			"header": ["import org.tensorflow."]
			}
		
		]
	},
	{
		"language": "C++",
		"endung": [".cpp"],
		"frameworks":[
			{
			"name": "Apache SINGA",
			"header": ["#include \"singa/", "#include <singa/"]
			},
			{
			"name": "Caffe",
			"header": ["#include \"caffe/", "#include <caffe/"]
			},
			{
			"name": "Dlib",
			"header": ["#include \"dlib/", "#include <dlib/"]
			},
			{
			"name": "Intel Data Analytics Acceleration Library",
			"header": ["#include \"daal.h\"", "#include <daal.h>"]
			},
			{
			"name": "OpenNN",
			"header": ["#include \"opennn/", "#include <opennn/"]
			},
			{
			"name": "PlaidML",
			"header": ["#include \"plmc/", "#include <plmc/"]
			},
			{
			"name": "Torch",
			"header": ["#include \"torch/", "#include <torch/"]
			},
			{
			"name": "TensorFlow",
			"header": ["#include \"tensorflow/", "#include <tensorflow/"]
			}
		]
	},
	{
		"language": "C",
		"endung": [".c"],
		"frameworks":[
			{
			"name": "Intel Math Kernel Library",
			"header": ["#include \"mkl.h\"", "#include <mkl.h>"]
			},
			{
			"name": "TensorFlow",
			"header": ["#include \"tensorflow/", "#include <tensorflow/"]
			}
		]
	},
	{
		"language": "Python",
		"endung": [".py"],
		"frameworks":[
			{
			"name": "Apache SINGA",
			"header": ["from singa", "import singa"]
			},
			{
			"name": "BigDL",
			"header": ["from bigdl", "import bigdl"]
			},
			{
			"name": "Caffe",
			"header": ["from caffe", "import caffe"]
			},
			{
			"name": "Chainer",
			"header": ["from chainer", "import chainer"]
			},
			{
			"name": "Intel Data Analytics Acceleration Library",
			"header": ["from daal", "import daal"]
			},
			{
			"name": "Keras",
			"header": ["from keras", "import keras"]
			},
			{
			"name": "PlaidML",
			"header": ["[\"KERAS_BACKEND\"] = \"plaidml.keras.backend\""]
			},
			{
			"name": "Sklearn",
			"header": ["from sklearn", "import sklearn"]
			},
			{
			"name": "TensorFlow",
			"header": ["from tensorflow", "import tensorflow"]
			},
			{
			"name": "Torch",
			"header": ["from torch", "import torch"]
			},
			{
			"name": "Thenao",
			"header": ["from theano", "import theano"]
			}
		]
	},
	{
		"language": "R",
		"endung": [".R"],
		"frameworks":[
			{
			"name": "Keras",
			"header": ["library(keras)", "require(keras)"]
			},
			{
			"name": "TensorFlow",
			"header": ["library(tensorflow)", "require(tensorflow)"]
			}
		]
	},
	{
		"language": "Matlab",
		"endung": [".mat", ".m"],
		"frameworks":[
			{
			"name": "Caffe",
			"header": ["importCaffe"]
			},
			{
			"name": "Keras",
			"header": ["importKeras"]
			}
		]
	},
	{
		"language": "Scala",
		"endung": [".scala"],
		"frameworks":[
			{
			"name": "BigDL",
			"header": ["import com.intel.analytics.bigdl"]
			}
		]
	},
	{
		"language": "Lua",
		"endung": [".lua"],
		"frameworks":[
			{
			"name": "Torch",
			"header": ["require 'torch'"]
			}
		]
	}
	
]