444 Open source projects that are alternatives of or similar to Mxnet2Caffe-Tensor-RT-SEnet

A collection of Audio and Speech pre-trained models.

《深度学习与计算机视觉》配套代码

arcface and retinaface model convert mxnet to onnx.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Squeeze-and-Excitation Networks

Visualizer for neural network, deep learning, and machine learning models

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

Setup and customize deep learning environment in seconds.

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

convert model from mxnet to caffe without lossing precision

Deep Learning Benchmarking Suite

face detection and alignment with mtcnn

qihoo360 xlearning with GPU support; AI on Hadoop

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

CNN model inference benchmarks for some popular deep learning frameworks

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

AI on Hadoop

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

A windows caffe implementation of YOLO detection network

Deep learning software for colorizing black and white images with a few clicks.

[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet

Faster R-CNN implementation with MXNet Gluon API

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Domain Guided Dropout for Person Re-identification

An Engine-Agnostic Deep Learning Framework in Java

ID-discriminative Embedding (IDE) for Person Re-identification

VGG16 architecture with BatchNorm

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Create mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...

Oriented Response Networks, in CVPR 2017

The SimNets Architecture's Implementation in Caffe

Multiple Knowledge Tracing models implemented by mxnet

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Re-implementation of tripletloss function in FaceNet

MTCNN with Motion Detection, on Raspberry Pi with Love

A Big Awesome List CoreML Models.

MTCNN Face Detection & Alignment

Auto-ReID and Other Person Re-Identification Projects

Showcase for using R + MXNET along with AWS and bitfusion for deep learning.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

在caffe应用到工程实现时，为了方便系统安装，需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起，以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件，就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过

6th place solution

MXNet implementation for DenseNet

Compact Generalized Non-local Network (NIPS 2018)

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

php wrapper for opencv

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

Convert image folder to lmdb, adapted from Efficient-PyTorch

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Use caffe to train your own data in just one click

Data Augmentation for Caffe

🎯 保姆级深度学习从入门到放弃 🤪 🤪