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mixup-2

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mixup-generator

An implementation of "mixup: Beyond Empirical Risk Minimization"

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmcv

OpenMMLab Computer Vision Foundation

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.

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

mobdebug

Remote debugger for Lua.

mockamap

a simple map generator based on ROS

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

models

Models built with TensorFlow

modelzoo

neon model zoo

moderntracker

A modern face tracker

monomi-optimizer

Monomi designer and planner prototype

moo-mtl

Code for the paper "Multi-task problems are not multi-objective"

motchallengeevalkit

motrix

A full-featured download manager.

mpw6

submission repository for efabless mpw6 shuttle

mrcnn-object-detection

Object detection via a multi-region & semantic segmentation-aware CNN model

mrcnn-scene-recognition

MR-CNNs for Large-Scale Scene Recognition

mriscv

A 32-bit Microcontroller featuring a RISC-V core

mt.caffe

mtcnn

mtcnn in python

mtcnn-1

MTCNN face detection implementation for TensorFlow, as a PIP package.

mtcnn-pytorch

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

mtcnn-pytorch-1

pytorch implementation of face detection algorithm MTCNN

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multi-object-occlusion

multibox