|| facebookresearch/Detectron | fast-style-transfer | Hironsan/BossSensor | rbgirshick/py-faster-rcnn | baidu/mobile-deep-learning | matterport/Mask_RCNN | cnn-text-classification-tf | tensorflow_cookbook | AaronJackson/vrn | face_classification | tensorflow-tutorial | rbgirshick/fast-rcnn | ShaoqingRen/faster_rcnn | TuSimple/mx-maskrcnn | rbgirshick/rcnn | jcjohnson/cnn-benchmarks | tensorflow_template_application | CNN_sentence | openai/pixel-cnn | Tensorflow-Tutorial | matconvnet | merantix/picasso | piiswrong/deep3d | PyTorch-Tutorial | jwyang/faster-rcnn.pytorch | NeuralKart | face_verification_experiment | PyCNN | fendouai/FaceRank | cnn-vis | deepgaze | CSAILVision/places365 | caffenet-benchmark | CNNdroid | mc-cnn | DLTK | regl-cnn | visual-qa | monodepth | Conditional-PixelCNN-decoder | cnn_finetune | CNN-for-Sentence-Classification-in-Keras | NRE | tf-pose-estimation | fast-pixel-cnn | mx-rcnn | tf_cnnvis | CNN-for-Image-Retrieval | multi-class-text-classification-cnn-rnn | text-classification-cnn-rnn | cnn_graph | insuranceQA-cnn-lstm | CondenseNet | ImageCaptioning.pytorch ||
|| dll | 3dmm_cnn | Tensorflow-for-stock-prediction | SparseConvNet | T-CNN | Image-Super-Resolution | FaceDetection_CNN | cnn-models | chainer-faster-rcnn | VQA_LSTM_CNN | caffe-fast-rcnn | simple-faster-rcnn-pytorch | emnlp2017-bilstm-cnn-crf | multi-class-text-classification-cnn | cnn-text-classification-pytorch | face-py-faster-rcnn | CNNGestureRecognizer | Activity-Recognition-with-CNN-and-RNN | CnnForAndroid | Video-Classification-2-Stream-CNN | face-landmark-localization | twitter-sentiment-analysis | Human-Activity-Recognition-using-CNN | CNN_face_detection | PipeCNN | deep-landmark | captcha-tensorflow | neural_chinese_transliterator | cnn-text-classification-tf-chinese | age-gender-estimation | quantized-cnn | CNN-LSTM-Caption-Generator | rc-cnn-dailymail | DeepLearning_tutorials | cifar-10-cnn | pixelCNN | bottom-up-attention | Language-Modeling-GatedCNN | pytorch-cnn-visualizations | object_detection | convnet-drawer | 3DUnetCNN | practical-cnn | netvlad | tf-lstm-char-cnn |
|| retrieval-2016-deepvision | VanillaCNN | cnn_head_detection | DynamicCNN | fast-rcnn-torch | caffe-heatmap | cnn-re-tf | DeepPyramid | scnn | tensorflow-image-classification | Image_Classification_with_5_methods | SRGAN-tensorflow | Chainer_Mask_R-CNN | How-to-learn-Deep-Learning | CUDA-CNN Convolutional-Neural-Stock-Market-Technical-Analyser | ShuffleNet-An-Extremely-Efficient-CNN-for-Mobile-Devices-Caffe-Reimplementation | chainer-cifar10 | simple_cnn | caption_generator | Implementation-CVPR2015-CNN-for-ReID | Theano-3D-ConvNet | flask-keras-cnn-image-retrieval | caffe-oxford102 | text_convnet | honk | JavaCNN | VQA-tensorflow | CryptocurrencyPrediction | vision ||