Natural language processing (NLP) is the study of how computers and humans interact.
There are 24,184 repositories under nlp topic.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
TensorFlow code and pre-trained models for BERT
12 Weeks, 24 Lessons, AI for All!
500 AI Machine learning Deep learning Computer vision NLP Projects with code
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Oxford Deep NLP 2017 course
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
📺 Discover the latest machine learning / AI courses on YouTube.
Natural Language Processing Tutorial for Deep Learning Researchers
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
modest natural-language processing
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
🔥Highlighting the top ML papers every week.
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)