TJJTJJTJJ's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
meta-llama/llama
Inference code for Llama models
google-research/bert
TensorFlow code and pre-trained models for BERT
fxsjy/jieba
结巴中文分词
coder2gwy/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。
JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
julycoding/The-Art-Of-Programming-By-July-2nd
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
OI-wiki/OI-wiki
:star2: Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
ymcui/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
SharingSource/LogicStack-LeetCode
公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码
princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
wzhe06/Reco-papers
Classic papers and resources on recommendation
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
lydrainbowcat/tedukuri
《算法竞赛进阶指南》资源社区
andrewt3000/DL4NLP
Deep Learning for NLP resources
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
lonePatient/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
mJackie/RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
alibaba/EasyRec
A framework for large scale recommendation algorithms.
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
nlpinaction/learning-nlp
nlp in action
ethsonliu/stackoverflow-top-cpp
stackoverflow 上对 C/C++ 问题的整理、总结和翻译。
HanXinzi-AI/awesome-NLP-resources
a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。
QingqingSUN/YoutubeNet
recommendation system with Youtube Deep Net
SaulZhang/Awesome_Video_Frame_Prediction
This is a zoo which contain all kinds of video prediction model code(reimplementation or author provide)and the paper.I created this repository to make it easy for newbies in the video prediction field to get started.
guyulongcs/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06