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DeblurganImage Deblurring using Generative Adversarial Networks
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DeepwayThis project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
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DeepregMedical image registration using deep learning
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Dl Workshop SeriesMaterial used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
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FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
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FacerankFaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型(QQ群:167122861)。技术支持:http://tensorflow123.com
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PythonmlArtificial neural network classes and tools in Python and TensorFlow.
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Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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ImagenetTensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
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Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
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Grad Cam[ICCV 2017] Torch code for Grad-CAM
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MiscnnA framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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DeepmedicEfficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
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Self Driving CarUdacity Self-Driving Car Engineer Nanodegree projects.
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Image Text Localization RecognitionA general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約
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DensepointDensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
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Pytorch BayesiancnnBayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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Tf cnnvisCNN visualization tool in TensorFlow
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Facedet实现常用基于深度学习的人脸检测算法
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Deep PlantDeep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
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ExermoteUsing Machine Learning to predict the type of exercise from movement data
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ImageaiA python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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Person Detection And TrackingA tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
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SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
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Awesome TensorlayerA curated list of dedicated resources and applications
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Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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