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总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
主要是我是日常看过的不错的文章的资源汇总,方便自己也分享给大家。有些我看过的,就会做简单的解读,没看过的,就先罗列一下,然后之后看了把解读更新上;涉及到搜索/推荐/自然语言处理。
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
A Large-Scale Few-Shot Relation Extraction Dataset
A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
novel deep learning research works with PaddlePaddle
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
A complete computer science study plan to become a software engineer.
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
A collection of various deep learning architectures, models, and tips
Must-read papers on neural relation extraction (NRE)
links to conference publications in graph-based deep learning
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
resources for graph convolutional networks (图卷积神经网络相关资源)
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
人工智能论文关键点集结。This project aims to collect key points of AI papers.