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super973's Projects

ai_tutorial icon ai_tutorial

精华机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理

ailearning icon ailearning

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

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

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

anfis icon anfis

Python implementation of an Adaptive neuro fuzzy inference system

autodl icon autodl

DeepWisdom's 1'st Solution for AutoDL challenge

awesome-bash icon awesome-bash

A curated list of delightful Bash scripts and resources.

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bd-chat-2020 icon bd-chat-2020

2020语言与智能技术竞赛:面向推荐的对话任务

bertmodel icon bertmodel

利用bert预训练模型生成句向量或词向量

bigdatatech icon bigdatatech

This Repository contains the small projects related to Hive, Hadoop, and Spark. Its my contribution of learning new technology and provide my concise knowledge on big data different infrastructures.

ce599 icon ce599

CE599-002 Data Science for Transportation

cikm-2019-analyticup icon cikm-2019-analyticup

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

cold-start-recsys icon cold-start-recsys

Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.

cs224n-stanford-winter-2019 icon cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!

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