hell-to-heaven Goto Github PK

mobileriskuser

基于移动网络通讯行为的风险用户识别 (15th/624)

moc_normalization

Tools for checking and normalizing participants results for the challenge 2 ("Mobile OCR Challenge") of the SmartDOC competition at ICDAR 2015.

model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for binary value of feature(A))

modelarts-example

models

Models and examples built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

monoculartotalcapture

Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

monoport

Monoport: Monocular Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live)

moody

Moody is your very own personal mental health assistant. Winner IBM Hack Challenge 2018.

moran_v2

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

moran_v2_text_recognition

moziai

moziai强化学习和行为树的代码

mpe-pytorch

This is MPE-pytorch, fix some bugs.

mpipso

MPI Particle Swarm Optimization

mrotate

Knowledge Graph Embedding by Relational and Entity Rotation

mscred

Multi-Scale Convolutional Recurrent Encoder-Decoder

mtgnn

mthv2_datasets_release

mtl-kgc

code for the paper 'Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models'

mtl-text-recognition

multi-task learning for text recognition with joint CTC-attention

mtrcnet-cl

[MedIA'20]Multi-task recurrent convolutional network with correlation loss for surgical video analysis, winner algorithm at MICCAI'19 Surgical Workflow and Skill Analysis Challenge

mtwi_task1

ICPR MTWI 2018 挑战赛一

multi-agent-soccer

multi-embedding-cws

Multiple Character Embeddings for Chinese Word Segmentation

multi-explore

Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"

multi-hops-connectivity

multi-label-fashion-mnist

Multi-Label Classification and Class Activation Map on Fashion MNIST

multi-label-inception-net

Multi-label image classification using pretrained Inception net.

multi-label-soft-f1

Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0

multi-label_classification

transform multi-label classification as sentence pair task, with more training data and information