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Train transformer language models with reinforcement learning.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
by ex-googlers, for ex-googlers - a lookup table of similar tech & services
This repo contains implementation of different architectures for emotion recognition in conversations.
Python implementation of Density-Based Clustering Validation
Classical equations and diagrams in machine learning
machine learning and deep learning tutorials, articles and other resources
Reading list for Awesome Sentiment Analysis papers
Jupyter notebooks for the Natural Language Processing with Transformers book
Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, EMNLP 2019
自然语言处理领域下的相关论文(附阅读笔记),复现模型以及数据处理等(代码含TensorFlow和PyTorch两版本)
Clustering sentence embeddings to extract message intent
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Conversational text Analysis using various NLP techniques
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。