Natural Language Processing Tutorial for Deep Learning Researchers
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Updated
Feb 21, 2024 - Jupyter Notebook
Natural Language Processing Tutorial for Deep Learning Researchers
《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
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.
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Google AI 2018 BERT pytorch implementation
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Transformer related optimization, including BERT, GPT
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
State of the Art Natural Language Processing
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
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