Pinned Repositories
2018spa
qq2018spa
2020-zhihuihaiyang
2020数字中国创新大赛-数字政府赛道-智能算法赛：智慧海洋建设算法赛道代码
2021_QQ_AIAC_Tack1_1st
QQ浏览器2021AI算法大赛赛道一 第1名 方案
KDD2020Multimodalities
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall
MemNN
Memory Networks implementations
rank6
天池-新冠疫情相似句对判定大赛 大白_Rank6
ruijin_competition
天池瑞金知识图谱算法大赛
Tencent2020_Rank1st
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
CsQA
CommonsenseQA
lsq357's Repositories
lsq357/2021_QQ_AIAC_Tack1_1st
QQ浏览器2021AI算法大赛赛道一 第1名 方案
lsq357/Tencent2020_Rank1st
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
lsq357/4T4R
lsq357/AdaptiveReID
AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification
lsq357/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
lsq357/challenge
2022微信大赛 baseline
lsq357/CharBERT
CharBERT: Character-aware Pre-trained Language Model (COLING2020)
lsq357/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
lsq357/CPM-Generate
Chinese Pre-Trained Language Models (CPM-LM) Version-I
lsq357/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
lsq357/defer
lsq357/EasyTransfer
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
lsq357/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
lsq357/Flat-Lattice-Transformer
code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
lsq357/graph-learn
graph-learn
lsq357/keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
lsq357/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
lsq357/LeetCode-1
Warmly welcome to my website：https://www.zengqiang.org ｜目录：
lsq357/MultiModal_BigModels_Survey
A continuously updated paper list for multi-modal pre-trained big models
lsq357/OpenAttack
An Open-Source Package for Textual Adversarial Attack.
lsq357/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
lsq357/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
lsq357/sigir2020_peterrec
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
lsq357/sim
lsq357/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
lsq357/transformer-in-transformer
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
lsq357/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
lsq357/visual-chatgpt
VisualChatGPT
lsq357/WeChat_Big_Data_Challenge_DeepCTR_baseline
lsq357/x-deeplearning
An industrial deep learning framework for high-dimension sparse data