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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🔠Foreign language reading and translation assistant based on copy and translate.
✒统计学习方法第二版（李航） 学习笔记、代码实现、课后习题
nininininini / fluent-python-notes
8000 Forked from Latias94/fluent-python-notes《流畅的 Python》读书笔记
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
A pytorch implemented classifier for Multiple-Label classification
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
A list of papers for machine learning, reinforcement learning, NLP or something interesting
This is the notes and code I took while studying an NLP tutorial [2019 Latest AI Natural Language Processing Deep Machine Learning Top Project Practical Course]
An open-source NLP research library, built on PyTorch.
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Example code for "Real-World Natural Language Processing"
SOTA results for machine learning problems in NLP .
A rough pytorch 0.3.0 reimplementation for paper: Sentence-State LSTM for Text Representation. Basicly follow the original Tensorflow version: https://github.com/leuchine/S-LSTM
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Context-Sensitive Lexicon Features for Neural Sentiment Analysis