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machine_learning

Implementation of Clustering, Logistic Regression, Support Vector Machine, Random Forest classifier etc.

machine_learning-1

machine learning applied to NLP without deep learning

machine_learning_algorithms

Neural Network, Linear & Logistic Reression, Random Forests and more implementations. Examples and explanations.

machine_learning_basics

Plain python implementations of basic machine learning algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

machine_reading_comprehension

machine reading comprehension with deep learning

machine_translation

Machine translation using deep learning with lstm,cnn,attention,beam search and so on.

machinelearning-spring-2016-vqa

Visual Question Answering

machinelearning_smartmeteranalytics

Master Thesis for Energy Engineering #Python. This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector machines. This repository is still immature. More notebooks will being added and updated in the future.

machinelearningalgorithm

一些常用的机器学习算法实现

mad

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"

mada

Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)

maf

Masked Autoregressive Flow

magenta

Magenta: Music and Art Generation with Machine Intelligence

magic_init

magpie

Deep neural network framework for multi-label text classification

malconv-pytorch

Pytorch implementation of MalConv

malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

malmo-challenge

Malmo Collaborative AI Challenge - Team Pig Catcher

malware-detection

Malware Detection and Classification Using Machine Learning

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mann

Neural Turing Machine

manopth

MANO layer for PyTorch, generating hand meshes as a differentiable layer

marian

Fast Neural Machine Translation in C++

markdown-apidocs

Autogenerate API docs from source in markdown

market-basket-analysis-apriori

Market basket analysis of retail and movie datasets using brute force and apriori algorithm

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

marrnet

MarrNet: 3D Shape Reconstruction via 2.5D Sketches