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Showing results

Reverse engineered ChatGPT API

Python 28,056 4,483 Updated Aug 2, 2023

Train transformer language models with reinforcement learning.

Python 11,744 1,583 Updated Feb 18, 2025

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Python 139,648 28,005 Updated Feb 18, 2025

by ex-googlers, for ex-googlers - a lookup table of similar tech & services

14,760 1,053 Updated Feb 11, 2025

This repo contains implementation of different architectures for emotion recognition in conversations.

Python 1,396 336 Updated Mar 10, 2024
Java 3 Updated Apr 7, 2018

awesome material

344 142 Updated Jan 17, 2019

Python implementation of Density-Based Clustering Validation

Python 162 42 Updated Dec 19, 2023

Classical equations and diagrams in machine learning

TeX 7,556 1,272 Updated Jul 30, 2024

machine learning and deep learning tutorials, articles and other resources

15,888 3,826 Updated Jun 12, 2024

Reading list for Awesome Sentiment Analysis papers

522 95 Updated Mar 14, 2023

Jupyter notebooks for the Natural Language Processing with Transformers book

Jupyter Notebook 4,027 1,279 Updated Aug 21, 2024

Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, EMNLP 2019

Python 66 21 Updated Jul 6, 2023

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)

Python 1,211 185 Updated Jan 5, 2024

Clustering sentence embeddings to extract message intent

Jupyter Notebook 170 24 Updated Oct 19, 2021

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Python 747 108 Updated Jul 25, 2024

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Python 6,412 789 Updated Feb 18, 2025

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Python 562 91 Updated May 1, 2023

Conversational text Analysis using various NLP techniques

Jupyter Notebook 180 19 Updated Jun 12, 2023

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。

Python 2,215 546 Updated Jan 5, 2022