237 Open source projects that are alternatives of or similar to Mxnet Mobilenet V2

Yet Another MXnet DETection

Sequence to sequence learning with MXNET

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.

High level network definitions with pre-trained weights in TensorFlow

A library for training and deploying machine learning models on Amazon SageMaker

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Deep Learning Benchmarking Suite

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

Source code of paper: (not available now)

MXNet Gluon Synchronized Batch Normalization Preview

Image Retrieval Experiment Using Triplet Loss

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Mask-RCNN implementation in MXNet

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

Code for polyaxon tutorials and examples

Modular Probabilistic Programming on MXNet

go binding for mxnet c_predict_api to do inference with pre-trained model

A PyTorch Implementation of MobileNetv2+DeepLabv3

A Comprehensive Tutorial on Video Modeling

MobileNet-v2 experimental network description for caffe

Ranking made easy

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Gluon implementation of EfficientNet and EfficientNet-lite

State-of-the-art 2D and 3D Face Analysis Project

Caffe Implementation of Google's MobileNets (v1 and v2)

convert model from mxnet to caffe without lossing precision

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".

A collection of Natural language processing pre-trained models.

Gluon to PyTorch deep neural network model converter

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

face detection and alignment with mtcnn

Object localization in images using simple CNNs and Keras

A collection of Audio and Speech pre-trained models.

mixup: Beyond Empirical Risk Minimization

Korean English NMT(Neural Machine Translation) with Gluon

Open standard for machine learning interoperability

Machine Learning University: Accelerated Computer Vision Class

An Implementation of Mnasnet with Pretrained Model

MXNet for CTR

.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/

AI Video Processing/Upscaling With VapourSynth in Google Colab

nGraph has moved to OpenVINO

Simulate quantization and quantization aware training for MXNet-Gluon models.

MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

A collection of computer vision pre-trained models.

Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Insightface face detection and recognition model that just works out of the box.

TensorLy: Tensor Learning in Python.

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

Gluon implementation of "Objects as Points", aka "CenterNet"

Neural Style and MSG-Net

《深度学习与计算机视觉》配套代码

The MXNet Implementation of Stacked Hourglass and Stacked SAT for Robust 2D and 3D Face Alignment

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Machine Learning University: Accelerated Natural Language Processing Class

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

use mxnet to train your own data with just oneclick