Nerus (lqfarmer)

lqfarmer

Geek Repo

Company:Tencent

Location:Bei Jing

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Nerus's repositories

Awesome-DeepLearning-500FAQ

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。声明:所有内容来自(仅供学习):https://github.com/scutan90/DeepLearning-500-questions

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AIinterview

算法工程师面试题整理

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Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

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Artificial-Intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

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Awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

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awesome-network-embedding

A curated list of network embedding techniques.

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awesome-recommender-systems

A curated list of awesome resources about Recommender Systems.

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awesome-resume

包含简历常用例句

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Cpp-0-1-Resource

C++ 匠心之作 从0到1入门资料

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FastGCN

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

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GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

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gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

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graph-based-nn

Graph Convolutional Networks (GCNs)

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GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

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Information-Extraction-Chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

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LeetCode-Solution-Python

我的 LeetCode 做题记录,使用 Python 语言作答。

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LINE-1

LINE: Large-scale information network embedding

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machine-learning-interview

算法工程师-机器学习面试题总结

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Machine_Learning_Study_Path

机器学习过程中所看的书,视频和源码

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mgcnn

Multi-Graph Convolutional Neural Networks

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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nlp-public-dataset

Chinese, English NER, English-Chinese machine translation dataset. 中英文实体识别数据集,中英文机器翻译数据集

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note

学习笔记整理📚

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NRLPapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

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OpenNE

An Open-Source Package for Network Embedding (NE)

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reverse-interview-zh

技术面试最后反问面试官的话

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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