aluckydog0716 Goto Github PK

a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

acl2019-bert-argument-classification-and-clustering

ai-roadmap

ApacheCN AI 路线图（知识树）

ai-system

Resources for AI System Education

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algo

数据结构和算法必知必会的50个代码实现

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

aluckydog0716

Config files for my GitHub profile.

anti-anti-spider

越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）（因工作原因，项目暂停）

argument_bert

Argumentation Mining project with BERT

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

az-300-microsoftazurearchitecttechnologies

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-sense

Source code accompanying the KONVENS 2019 paper "Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings"

captcha_break

验证码识别

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

clue

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

crnn_ctc_ocr.tensorflow

Extremely simple implement for CRNN by Tensorflow

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

ctr_prediction

CTR prediction using FM FFM and DeepFM

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deep_ocr

make a better chinese character recognition OCR than tesseract

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

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18个章节，50余万字。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

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

dl_inference

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch框架训练出的深度学习模型。