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available_models.json
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available_models.json
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{"keras": ["jetTagger_Conv2D_Small.json", "KERAS_dense_16x100x100x100x100x100x5.json", "KERAS_conv2d_model.json", "qkeras_3layer.json", "qkeras_mnist_cnn.json", "KERAS_dense_16x500x500x500x500x500x5.json", "KERAS_3layer.json", "KERAS_conv1d.json", "jetTagger_Conv2D_Small_NoBatchNorm.json", "KERAS_3layer_batch_norm.json", "KERAS_3layer_ternary_small.json", "qkeras_mnist_dense.json", "garnet_1layer.json", "keras_bnn.json", "KERAS_3layer_binary_smaller.json", "KERAS_conv1d_small.json", "KERAS_dense_16x200x200x200x200x200x5.json", "garnet_3layer.json", "KERAS_1layer.json", "KERAS_3layer_binarydense_relu_max.json"], "pytorch": ["two_layer_model.pt", "three_layer_model.pt"], "onnx": ["two_layer_pytorch.onnx", "three_layer_bn_keras.onnx", "three_layer_keras.onnx", "conv1d_small_keras.onnx", "two_layer_keras.onnx", "conv2d_small_keras.onnx", "branched_model_ch_last.onnx", "separable_conv_model_ch_last.onnx", "tiny_unet_ch_last.onnx", "three_layer_pytorch.onnx", "conv2d_small_mp_keras.onnx", "dense_big_keras.onnx", "three_layer_bn_pytorch.onnx"], "tensorflow": ["3layer.pb"]}