Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
QuillGPT is an implementation of the GPT decoder block based on the architecture from Attention is All You Need paper by Vaswani et. al. in PyTorch. Additionally, this repository contains two pre-trained models — Shakespearean GPT and Harpoon GPT, a Streamlit Playground, Containerized FastAPI Microservice, training - inference scripts & notebooks.
The AI Agent Framework in .NET
SaprotHub: Making Protein Modeling Accessible to All Biologists
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
LLM-based ontological extraction tools, including SPIRES
LLM training code for Databricks foundation models
Symbolic Music NLP Artificial Intelligence Toolkit
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
A reading list for large models safety, security, and privacy.
Longitudinal Evaluation of LLMs via Data Compression
An open source NLP library based on MindSpore
Created by Alan Turing