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Deep Convolution Stock Technical AnalysisUses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
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Mixhop And N GcnAn implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
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O CnnO-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
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Ghostnet.pytorch[CVPR2020] GhostNet: More Features from Cheap Operations
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EspnetESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
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Music recommenderMusic recommender using deep learning with Keras and TensorFlow
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Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
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DropblockImplementation of DropBlock: A regularization method for convolutional networks in PyTorch.
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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Deep KoalarizationKeras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
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Vnet.pytorchA PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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Fire Detection Cnnreal-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
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DeepconvsepDeep Convolutional Neural Networks for Musical Source Separation
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Mtcnn PytorchJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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SlimmingLearning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
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