experiments of some semantic matching models and comparison of experimental results.

This repository will include technologies related to large models, such as fine-tuning of large language models, the use of agents, and other large model-related techniques.

CoSENT、STS、SentenceBERT

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

pytorch学习总结

c++, data_analysis, deep_learning, docker, git, python etc.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Here we will sort out a variety of interesting Python library learning

Summary and comparison of Chinese classification models

Here we will sort out the items related to CV, including image classification, objection detection, semantic segmentation， instance segmentation, etc.

Here I sort out some small projects I did in the process of learning NLP.

Implementation of GAN

Summary of Python crawler practice.

This will describle some element knowlege about tensorflow.

The repository includes GNN, GAT, GCN, GraphSAGE, PinSAGE, etc algorithm implementation.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

面试中一些算法题总结

This is project about CV. I will summary skills which is some processing CV.

参加各种比赛的总结，以及代码分享

Summary of keras knowledge points.

社团检测算法总结