Showing 221-240 of 439 projects
Shrimp Task Manager is an AI-powered task tool for developers, enabling agent-like behavior in reasoning AI systems.
A high-performance library for generating state-of-the-art static embeddings for natural language processing tasks.
Open-source sentiment analysis system for aspect-level sentiment classification and opinion target extraction.
superglue builds integrations and tools from natural language for long-tail and enterprise systems.
A curated list of practical guide resources for applying Large Language Models in Medicine
A LangChain-based framework for end-to-end natural language to data insight conversion, with MCP Skills multi-agent architecture.
Deep learning model to analyze a large corpus of clear text passwords.
This is a tutorial on using deep learning for natural language processing with PyTorch.
Comprehensive collection of federated learning resources (papers, frameworks, datasets, tutorials, etc.)
The Nature of Code book is a comprehensive guide to simulating natural phenomena using JavaScript.
SLING is a natural language frame semantics parser written in C++ that can be used for machine learning and natural language processing.
A Swift library that allows developers to query Apple Health data using natural language
A Rust-based CLI tool that provides an agentic chat experience to build applications using natural language.
NCRF++: A Neural Sequence Labeling Toolkit for tasks like NER, POS tagging, and text chunking.
A Python library for computing BERT-based text generation evaluation metrics.
A comprehensive survey of self-evolving AI agents, bridging foundation models and lifelong agentic systems.
A curated list of awesome papers, methods, and resources for semi-supervised learning, a powerful machine learning technique.
Self-contained Machine Learning and Natural Language Processing library in Go
A comprehensive tutorial on using the Transformers library for various natural language processing tasks in Python.
An interactive visualization library for exploring and interpreting topic models built with natural language processing.
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