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Pre-Trained Chinese XLNet（中文XLNet预训练模型）

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

usaddress 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

:us: a python library for parsing unstructured United States address strings into address components

torchdistill 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at…

Style-Transfer-in-Text 是一个开源项目，主题标签有限，建议打开仓库查看具体用途。

Paper List for Style Transfer in Text

WikiChat 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

DAMO-ConvAI 是用 Python 编写的学习资料，用于系统学习与查阅。

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Macaw-LLM 是用 Python 编写的学习资料，用于系统学习与查阅。

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

pke 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Python Keyphrase Extraction module

Semi-supervised-learning 是用 Python 编写的学习资料，用于系统学习与查阅。

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

TAADpapers 是用 Python 编写的学习资料，用于系统学习与查阅。

Must-read Papers on Textual Adversarial Attack and Defense

entity-recognition-datasets 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, doma…

ChatArena 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities …

awesome-search 是用 HTML 编写的学习资料，用于系统学习与查阅。

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

DeepMoji 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

conv-emotion 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

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

OpenNMT-tf 是用 Python 编写的学习资料，用于系统学习与查阅。

Neural machine translation and sequence learning using TensorFlow

anago 是用 Python 编写的学习资料，用于系统学习与查阅。

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

refinery 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

practical-nlp-code 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

NeuronBlocks 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

projects 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

🪐 End-to-end NLP workflows from prototype to production

hazm 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Persian NLP Toolkit

iOS_ML 是一个 AI 工具，用于人工智能方向的建模与推理。

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

transformers-interpret 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.