Chucy2020's repositories
albert_zh
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
awesome-cbir-papers
📝Awesome and classical image retrieval papers
BERT-whitening
简单的向量白化改善句向量质量
BERT-whitening-pytorch
Pytorch version of BERT-whitening
bert4keras
keras implement of transformers for humans
bertNER
ChineseNER based on BERT, with BiLSTM+CRF layer
car_knowledge_graph
汽车知识图谱
ChineseNER
中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF
DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
E-commerce-Customer-service-robot
电商多轮对话智能机器人
faiss
A library for efficient similarity search and clustering of dense vectors.
ImageProcessing100Wen
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
KBQA-for-Diagnosis
Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统
leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
multimodel
商品图像检索、多模态、深度学习
named_entity_recognition
中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）
Person_reID_baseline_pytorch
Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
pytorch-bertflow
Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.
pytorch_bert_chinese_spell_correction
基于pytorch的中文拼写纠错，使用的模型是Bert以及SoftMaskedBert
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
semantic-search-with-sbert
Build Semantic Search with S-BERT and Fine-tune your model in unsupervised way
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
Smooth_AP
code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"
ViLT
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"