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Motion SenseMotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
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HyperposeHyperPose: A Collection of Real-time Human Pose Estimation
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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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FssgiExploratory Project on Fast Screen Space Global Illumination
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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Pytorch PoseA PyTorch toolkit for 2D Human Pose Estimation.
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Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
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Personlab Tfimplementation of PersonLab(https://arxiv.org/abs/1803.08225) using TF-slim
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Cat Dog Cnn ClassifierThis classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.
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Plaquebox PaperRepo for Tang et al, bioRxiv 454793 (2018)
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Build OcrBuild an OCR for iOS apps
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Dl Workshop SeriesMaterial used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
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Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
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Age Gender EstimationKeras implementation of a CNN network for age and gender estimation
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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CpmConvolutional Pose Machines in TensorFlow
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Equivariant Transformers Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
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GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
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