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3d-point-clouds

🔥3D点云目标检测&语义分割-SOTA方法,代码,论文,数据集等

awesome-3d-point-cloud-semantic-segement

3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cplusplusthings

C++那些事

cpptemplatetutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

deeplearning_bookrecommender

Book Recommendation system creation, interpretation, model evaluation and comparison of results using libraries FastAI, Pytorch, Keras and Tensorflow

deeplearningwithpython

This repository contains implementation of the Various Deep Learning Methods like ANN, CNN, RNN, SOM, Recommender System and Autoencoders

detvisgui

This is a GUI for easily visualizing detection results .

job-recommendation-system

Recommending companies to students based on companies requirements and students skills

job_recommendation

职位推荐系统

job_recommendation_engine

This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset

jobrecommendationengine

A project that uses NLP to extract skills and degree from resumes and job postings. The results are matched using the jaccard index to come up with a matching score which is used to come up with job recommendations based on an individuals resume.

jobrecommendationkaggle

My solution for https://www.kaggle.com/c/job-recommendation/

jobsrecommender

Recommender system on jobs with various different algorithms. It is part of a private Kaggle (platform which hosts competitions in the field of Data Science) competition.

labelmeannotationtool

Source code for the LabelMe annotation tool.

lstm

时间序列预测

machine-learning-algorithms

Python实现经典分类回归、关联分析、聚类以及推荐算法等

movierecommendation

UserCF和ItemCF协同过滤推荐算法的实现

music_recommendation_2018

1.解析爬取到的Json歌单数据，并进行数据预处理。 2.基于Surprise推荐系统库，采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法**进行Song2Vec处理，实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实现基于LFM的歌曲推荐。

nlp_lab

Code lab for NLP. Including doc2txt,tf-idf,cnn,text classify,hmm cws,crf ner.

nuscenes-devkit

The devkit of the nuScenes dataset.

pandaset-devkit

personal-recommendation-action-

一些经典的个性化推荐算法的实现，从理论推导到实战

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

reco

推荐算法实现

recommondation-system

一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解

resumeparsing

sdm

Sequential deep matching model for recommender system at alibaba.

serving

A flexible, high-performance serving system for machine learning models