troublemeeter's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
CyC2018/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
soimort/you-get
:arrow_double_down: Dumb downloader that scrapes the web
Chanzhaoyu/chatgpt-web
用 Express 和 Vue3 搭建的 ChatGPT 演示网页
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
greatghoul/remote-working
收集整理远程工作相关的资料
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
ymcui/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
brightmart/nlp_chinese_corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
DA-southampton/NLP_ability
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
amusi/AI-Job-Notes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
gatieme/CodingInterviews
剑指Offer——名企面试官精讲典型编程题
InsaneLife/ChineseNLPCorpus
中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。
snowkylin/tensorflow-handbook
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
Jiakui/awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
DA-southampton/Tech_Aarticle
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。
PaddlePaddle/Research
novel deep learning research works with PaddlePaddle
cedrickchee/awesome-transformer-nlp
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
thunlp/NREPapers
Must-read papers on neural relation extraction (NRE)
thunlp/OpenCLaP
Open Chinese Language Pre-trained Model Zoo
Jiakui/awesome-gcn
resources for graph convolutional networks (图卷积神经网络相关资源)
thunlp/FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
yhangf/ML-NOTE
:orange_book:慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)
Hsuxu/Loss_ToolBox-PyTorch
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Doragd/Awesome-Paper-List
A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
google-marketing-solutions/crystalvalue
hardwellwell/FreePAC
科学上网/翻墙梯子/自由上网/SS/SSR/V2Ray/Brook 搭建教程 免费机场、VPN工具
JinkelaCrops/t2t-learning
learning tensorflow, t2t