BonnetBonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
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Vnet.pytorchA PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
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EspnetESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
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Mtlnas[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
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Bcdu NetBCDU-Net : Medical Image Segmentation
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Espnetv2A light-weight, power efficient, and general purpose convolutional neural network
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MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
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Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
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Region ConvNot All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
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EsnetESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
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Capsnet PytorchMy attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules
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Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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Incremental LearningPytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
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Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
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FrostnetFrostNet: Towards Quantization-Aware Network Architecture Search
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Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
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Bayesian cnnBayes by Backprop implemented in a CNN in PyTorch
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PaddlesegEnd-to-end image segmentation kit based on PaddlePaddle.
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Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
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ProjectaiaiAiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.
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Keras IcnetKeras implementation of Real-Time Semantic Segmentation on High-Resolution Images
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Core50CORe50: a new Dataset and Benchmark for Continual Learning
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Universal Data ToolCollaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
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Pynq DlXilinx Deep Learning IP
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Label Reg(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
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Raster VisionAn open source framework for deep learning on satellite and aerial imagery.
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Deep Residual UnetResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
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TnnBiologically-realistic recurrent convolutional neural networks
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Spacenet building detectionProject to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
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Fashion MnistA MNIST-like fashion product database. Benchmark 👇
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Deeplab v3 plusThis is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
Stars: ✭ 83 (-17%)
Pytorch FcnPyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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Setr PytorchRethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
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Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
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Facial Expression RecognitionClassify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
Stars: ✭ 82 (-18%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
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