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Pytorch implementation of Refresh, a neural extractive summarization model
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化,也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
ChatGPT带火了聊天机器人,主流的趋势都调整到了GPT类模式,本项目也与时俱进,会在近期更新GPT类版本。基于本项目和自己的语料可以训练出自己想要的聊天机器人,用于智能客服、在线问答、闲聊等场景。
PyTorch implementation of Super SloMo by Jiang et al.
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
A deep dive into embeddings starting from fundamentals
Rasa UI is a frontend for the Rasa Framework