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algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

alphago icon alphago

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

ansj_seg icon ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

aswan icon aswan

陌陌风控系统静态规则引擎,零基础简易便捷的配置多种复杂规则,实时高效管控用户异常行为。

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-java-cn icon awesome-java-cn

Java资源大全中文版,包括开发库、开发工具、网站、博客、微信、微博等,由伯乐在线持续更新。

awesome-nlp icon awesome-nlp

A curated list of resources dedicated to Natural Language Processing

basic_model_scratch icon basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bdci_car_2018 icon bdci_car_2018

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

bert icon bert

TensorFlow code and pre-trained models for BERT

breeze icon breeze

Breeze is a numerical processing library for Scala.

chinesenlpcorpus icon chinesenlpcorpus

An collection of Chinese nlp corpus including basic Chinese syntatic wordset, semantic wordset, historic corpus and evaluate corpus. 中文自然语言处理的语料集合,包括语义词、领域共时、历时语料库、评测语料库等。

cs291k icon cs291k

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

datumbox-framework icon datumbox-framework

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

deeplearn icon deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deeplearning-500-questions icon deeplearning-500-questions

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15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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