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liyushihaoren2's Projects

algorithm_interview_notes-chinese icon 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。

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

interview-questions icon interview-questions

Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯,阿里,字节跳动,Shopee,美团,滴滴高频面试题

kdd2018_mpcn icon kdd2018_mpcn

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

lark icon lark

LAnguage Representations Kit

lightkg icon lightkg

基于Pytorch和torchtext的知识图谱深度学习框架,包含知识表示学习、实体识别与链接、实体关系抽取、事件检测与抽取、知识存储与查询、知识推理六大功能模块,已实现了命名实体识别、关系抽取、事件抽取、表示学习等功能。框架功能丰富,开箱可用,极易上手!基本都是学习他人实现然后自己修改融合到框架中,没有细致调参,且有不少Bug~

models icon models

Models and examples built with TensorFlow

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp_basis icon nlp_basis

这是我学习一个NLP教程【2019最新AI 自然语言处理之深度机器学习顶级项目实战课程】做的笔记与代码

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pytorch-pretrained-bert icon pytorch-pretrained-bert

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

spacy-models icon spacy-models

💫 Models for the spaCy Natural Language Processing (NLP) library

tech_aarticle icon tech_aarticle

深度学习模型在各大公司实战落地细节解读:主要是通过阅读各种实战文章,梳理模型落地的工程细节,涉及到搜索/推荐/自然语言处理。

virgilio icon virgilio

Your new Mentor for Data Science E-Learning.

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