qianrenjian Goto Github PK

machine_learning

机器学习

machine_learning-1

机器学习算法的实现和应用

machine_learning_beginner

机器学习初学者公众号作品

machine_learning_derivation

notes of machine learning algorithm derivation

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

machine_learning_resources

:fish::fish::fish: 机器学习面试复习资源

machinelearning-4

Some machine learning algorithm

machinelearning-5

【火炉炼AI】-机器学习系列文章

machinelearning-6

Machine learning resources，including algorithm, paper, dataset, example and so on.

machinelearning-7

machinelearningwithspark

Spark projects. Learning book "Machine Learning with Spark"

machinelp-codefun

MachineLP CodeFun

magpie

Deep neural network framework for multi-label text classification

maml_noisy_contrasive_learner

marank

Multi-order Attentive Ranking Model for Sequential Recommendation

marge-pytorch

Implementation of Marge, Pre-training via Paraphrasing, in Pytorch

maria

PyTorch implementation for ACL 2021 paper "Maria: A Visual Experience Powered Conversational Agent".

marktool

MarkTool是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，MarkTool增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

marvel

Bytedance ICME2019

masr

中文语音识别; Mandarin Automatic Speech Recognition;

mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

masterthesis-classifiers

match

sentences pair match, relevance match

matchsum

Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

matchzoo-py

Facilitating the design, comparison and sharing of deep text matching models.

matchzoo-studio

Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.

max-recommender

Generate personalized recommendations

max-text-summarizer

Generate a summarized description of a body of text

maximummargingans

Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"