Text Classification
backprop-ai/backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
❓ Question Answering🤖 Language Models🧠 Natural Language Processing
PythonOtherupdated May 3, 2021
自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。
$ git clone https://github.com/shibing624/nlp-tutorial.gitBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Library of state-of-the-art models (PyTorch) for NLP tasks
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
This is the corresponding code for the book Transformers in Action
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.
Data from GitHub · snapshot Sep 24, 2026