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miniproject3

3rd Assignment for COMP598

miniseg

A Chinese Words Segmentation Tool Based on Bayes Model

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

minns

Codes for our paper "Revisiting Multiple Instance Neural Networks".

mitosis-detection

Deeply Learnt Models :p

mitosisdetection

mixdcnn

Pre-trained models for MixDCNN paper

mixturemodel

Dirichlet process mixture model (DPMM) for datamicroscopes

ml-10701-project

A repository for CMU 10701 Machine Learning project

ml-class-assignments

Programming Exercises on http://ml-class.org

ml-gbdt

A GBDT(MART) and LambdaMART training and predicting package

ml_class

Work for the Andrew Ng online ML class

ml_hackers

Machine Learning For Hackers 中文版

ml_snippets

mlalgorithm

the lib of machine learning algorithm

mlkp

CVPR18 Paper: Multi-scale Location-aware Kernel Representation for Object Detection

mlpack

mlpack: a scalable C++ machine learning library

mmdetection

OpenMMLab Detection Toolbox and Benchmark

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.

mmnet

Code for Towards Real-Time Automatic Portrait Matting on Mobile Devices

mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

mobilenetv2

A Keras implementation of MobileNetV2.

mobilenetv3

A Keras implementation of MobileNetV3.

moby-bic

Fun with NLP using MOBY, Spacy, and TextBlob/NLTK.

model-serving

A tensorflow-serving model server via HTTP.

models

Models built with TensorFlow

molgan-pytorch

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

monkey-net

Animating Arbitrary Objects via Deep Motion Transfer

morphologicalanalyzer

Japanese Morphological Analyzer (JMA) using Deep Neural Network (DNN)

movierecommendation

The goal of this project is to build a movie recommendation system using Non negative regularized matrix factorization without using any Machine Learning libraries on movie lens dataset