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mltrain-nips-2017

This repository contains all the material for the MLTrain NIPS workshop

mman

Code for ECCV2018 paper：Macro-Micro Adversarial Network for Human Parsing

mmcv

Open MMLab Computer Vision Foundation

mmd_aae

Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.

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 and PyTorch.

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

mnist-svhn-transfer

Minimal PyTorch Implementation of CycleGAN and SGAN for Domain Transfer.

mnn

MNN is a lightweight deep neural network inference engine.

mobile-deep-learning

This research aims at simply deploying CNN(Covolution Neural Network) on mobile devices, with low complexity and high speed.

mobile-semantic-segmentation

Real-Time Semantic Segmentation in Mobile device

mobile-vision

Mobile vision models and code

mobile_convnet

RenderScript based implementation of Convolutional Neural Networks for Android phones

mobilenet-coreml

The MobileNet neural network using Apple's new CoreML framework

mobilenet2-pytorch

Impementation of MobileNet2 in pytorch

mobilepose-pytorch

Single Person Pose Estimation for Mobile Device

mocap-dense-trajectories

Dense trajectories generated from mocap data. Presented at CVPR 14.

moco

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

modal

A modular active learning framework for Python

model-free-episodic-control

Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460

model_compression

Implementation of model compression with knowledge distilling method.

model_search

modeldb

A system to manage machine learning models

models

Models built with TensorFlow

models-1

The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format

modelsgenesis

Official Keras&PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

modl

Randomized online matrix factorization

mods

MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.

modular_rl

Implementation of TRPO and related algorithms

moe

A global, black box optimization engine for real world metric optimization.