bert

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Natural Language Processing Tutorial for Deep Learning Researchers

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

This repository contains demos I made with the Transformers library by HuggingFace.

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

vits2 backbone with multilingual-bert

BertViz: Visualize Attention in Transformer Models

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Transformer related optimization, including BERT, GPT

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Minimal keyword extraction with BERT

State of the Art Natural Language Processing

中文nlp解决方案(大模型、数据、模型、训练、推理)

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

we want to create a repo to illustrate usage of transformers in chinese

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Top2Vec learns jointly embedded topic, document and word vectors.

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集

A Unified Library for Parameter-Efficient and Modular Transfer Learning

RoBERTa中文预训练模型: RoBERTa for Chinese

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/