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LayerNeural network inference the Unix way
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Regl CnnDigit recognition with Convolutional Neural Networks in WebGL
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TimeceptionTimeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)
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PbaEfficient Learning of Augmentation Policy Schedules
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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O CnnO-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
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MangoA high-performance, open-source java RPC framework.
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SlimmingLearning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
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TnnBiologically-realistic recurrent convolutional neural networks
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Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
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Kapturekapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
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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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Fashion MnistA MNIST-like fashion product database. Benchmark 👇
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Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
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OsmdeepodOSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
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Sparsenet[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
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HypertagKnowledge Management for Humans using Machine Learning & Tags
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MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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