ResidualAttentionNetworkA Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
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age-gender-estimationA Lightweight and Efficient Method for Face Age and Gender Estimation Implemented in MXNet
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XferTransfer Learning library for Deep Neural Networks.
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djlAn Engine-Agnostic Deep Learning Framework in Java
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mloperatorMachine Learning Operator & Controller for Kubernetes
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MXNetSharpMXNet bindings for .NET/F#
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Tengine-Convert-ToolsTengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
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sfd.gluoncvReproduce SFD face detector using gluon-cv
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CycleGAN-gluon-mxnetthis repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
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ImageRecognizer-iOS[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
Stars: ✭ 51 (+112.5%)
mtomoMultiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
Stars: ✭ 24 (+0%)
gluon-faster-rcnnFaster R-CNN implementation with MXNet Gluon API
Stars: ✭ 31 (+29.17%)
AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (+100%)
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
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crnn.mxnetcrnn in mxnet.can train with chinese characters
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Gluon NlpNLP made easy
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deepspeech.mxnetA MXNet implementation of Baidu's DeepSpeech architecture
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Mx Lsoftmaxmxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.
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ReadToMeNo description or website provided.
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mxnet-SSHReproduce SSH (Single Stage Headless Face Detector) with MXNet
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MobulaopA Simple & Flexible Cross Framework Operators Toolkit
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OpSummary.MXNetA tool to count operators and parameters of your MXNet-Gluon model.
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MXNet-GANMXNet Implementation of DCGAN, Conditional GAN, pix2pix
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Nest💡 A flexible tool for building and sharing deep learning modules.
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FCOS GluonCVFCOS: Fully Convolutional One-Stage Object Detection.
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gluon2pytorchGluon to PyTorch deep neural network model converter
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lipnetLipNet with gluon
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DensenetMXNet implementation for DenseNet
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mxnet-cpp-scratchSome deep learning models written with mxnet and C++11.
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mxnet-retrainCreate mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...
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DLARMDLARM: Dissertation for Computer Science Masters Degree at UFRGS
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XKTMultiple Knowledge Tracing models implemented by mxnet
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Deeplearning CfnDistributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
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NetronVisualizer for neural network, deep learning, and machine learning models
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Bmxnet V2BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
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mlreefThe collaboration workspace for Machine Learning
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Thinc🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
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MXNetDotNet.NET wrapper for Apache MXNet written in C#
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ImgclsmobSandbox for training deep learning networks
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nih-chest-xrayIdentifying diseases in chest X-rays using convolutional neural networks
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CoachReinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
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dynamic-training-with-apache-mxnet-on-awsDynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. The system reduces training cost and time by dynamically updating the training cluster size during training, with minimal impact on model training accuracy.
Stars: ✭ 51 (+112.5%)
insightocrMXNet OCR implementation. Including text recognition and detection.
Stars: ✭ 100 (+316.67%)
AAAI 2019 EXAMOfficial implementation of "Explicit Interaction Model towards Text Classification"
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softmaxfocallossthe loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’
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