中文CLIP预训练模型

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

商品标题实体识别

该仓库主要记录 推荐系统 算法工程师相关的面试题

NLP实践demo，包含了文本分类，对话机器人，Transformer, GPT实现，图神经网络GNN使用，对抗训练，摘要抽取，知识蒸馏，变分自编码器，快速文本检索，中文医疗QA 的pytorch实现

NLP句子编码、句子embedding、语义相似度：BERT_avg、BERT_whitening、SBERT、SmiCSE

DataFountain第五届达观杯第4名方案

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

I am the creator of vscode-deno. Currently a contributor to Deno.

收录NLP相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

基于pytorch_bert的中文多标签分类

Datasets used in Plotly examples and documentation

QQ浏览器2021AI算法大赛赛道一 第1名 方案

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classi…

NLP实验：新词挖掘+预训练模型继续Pre-training

微信大数据赛初赛10th，复赛14th

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

全球人工智能技术创新大赛-赛道三-冠军方案

Label Mask for Multi-label Classification