Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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MedicalzoopytorchA pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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Pytorch2kerasPyTorch to Keras model convertor
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Senet TensorflowSimple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
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PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
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Resnetcam KerasKeras implementation of a ResNet-CAM model
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SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
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Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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Pretrained Models.pytorchPretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
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Nsfw Resnet🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
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Tta wrapperTest Time image Augmentation (TTA) wrapper for Keras model.
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Deep Reinforcement Learning With PytorchPyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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Food 101 MobileDeep Learning Food Classifier for iOS using Keras and Tensorflow
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Ml ClassifierA tool for quickly training image classifiers in the browser
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HolocronPyTorch implementations of recent Computer Vision tricks
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HypernetworksPyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
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Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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Resnet On Cifar10Reimplementation ResNet on cifar10 with caffe
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Libgdl一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)
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FixupA Re-implementation of Fixed-update Initialization
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Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
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Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
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Mobilenet SsdCaffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
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Mxnet.sharp.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
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Pytorch classifiersAlmost any Image classification problem using pytorch
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Scene BaselinePyTorch baseline for AI challenger Scene classification
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PyramidnetTorch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
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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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Mk TfjsPlay MK.js with TensorFlow.js
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Keras ResnetResidual networks implementation using Keras-1.0 functional API
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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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RfbnetReceptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
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Tfclassify UnityAn example of using Tensorflow with Unity for image classification and object detection.
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LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
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M PactA one stop shop for all of your activity recognition needs.
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MobilenetA Clearer and Simpler MobileNet Implementation in TensorFlow
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Deep Learning Training GuiTrain and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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AmlaAutoML frAmework for Neural Networks
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