aliushn Goto Github PK

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmag

Eulerian Motion Magnification in C++

mmdetection

Open MMLab Detection Toolbox

mmdnn

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.

mmsa

CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotations of Modality (ACL2020)

mnn

MNN is a lightweight deep neural network inference engine.

mnn-applications

MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.

mnn-yolov3

MNN demo of Strongeryolo, including channel pruning, android support...

mnnkit

MNN Kit

mobiface.github.io

mobile-sphereface-caffe

mobile-sphereface-caffe

mobile_phone_human_matting

human matting on mobile phone

mobilefacenet-mxnet

基于insightface训练mobilefacenet的相关步骤及ncnn转换流程

mobilefacenet-ncnn

Face Recognition Project on mobile phone, using ncnn to deploy it.

mobilefacenet-v2

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

mobilenetv2

mobilenetv2-yolov3

A darknet implementation of MobileNetV2-YOLOv3 detection network,5.0 BFLOPS!!!&MobileNetV2-YOLOv3-Lite:2.0Bflops, HUAWEI Mate30 33ms!!!

mobilenetv3-pytorch

Implementing MobileNetV3 using Pytorch

model-compression-deploy

model compression and deploy. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

model_deployment

A collection of model deployment library and technique.

modified-crunet-and-residual-attention-network.mxnet

A MXNet implementation of Modified CRUNet & Residual Attention Network

mono-vo

An OpenCV based implementation of Monocular Visual Odometry

moran_v2

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

motion-magnification

This repository implements T. Oh, R. Jaroensri, C. Kim, M. Elgharib, F. Durand, W. Freeman, W. Matusik "Learning-based Video Motion Magnification" arXiv preprint arXiv:1804.02684 (2018) in PyTorch.

motion-magnification-1

Implementation of Phase-Based Video Motion Processing (Wadhwa et al. 2013)

motion_magnification_learning-based

An unofficial implementation of "Learning-based Video Motion Magnification" in Pytorch.

motionamp

implementation of a phase-based video motion processing algorithm in python

movielens-recsys

基于MovieLens-1M数据集实现的协同过滤算法demo

movierecommender

基于Mahout实现协同过滤推荐算法的电影推荐系统