Low-code framework for building custom LLMs, neural networks, and other AI models

Mycroft Core, the Mycroft Artificial Intelligence platform.

Natural Language Processing Best Practices & Examples

A curated list of pretrained sentence and word embedding models

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

LLM(😽)

Turn Chinese natural language into structured data 中文自然语言理解

inferring sql queries from plain-text questions about tables

A tool that AI automatically recommends commit messages.

turn natural language into structured data(支持中文，自定义了N种模型，支持不同的场景和任务)

Adversarial Training for Natural Language Understanding

Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/

Code for Stanford CS224D: deep learning for natural language understanding

Build a RESTFUL-API for Similarity Check using Natural Language Processing and generative AI and Docker Compose

A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.

Automatically interpret and validate nested natural logic arguments based on rules of inference and propositional logic

Natural Language Data Augmentation Tool for Conversational Systems

😸 💬 A module to compute textual lexical richness (aka lexical diversity).

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.