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A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
An advanced natural language processing (NLP) library for topic modeling, text analysis, and word embeddings in Python.
CAMEL is a multi-agent framework for exploring the scaling law of artificial intelligence agents.
This repository contains lecture materials for a course on deep learning and natural language processing from the University of Oxford.
A tutorial for natural language processing (NLP) using deep learning frameworks like PyTorch and TensorFlow.
Natural Language Toolkit (NLTK) is a comprehensive Python library for NLP tasks.
A simple, state-of-the-art NLP framework for tasks like named entity recognition and semantic role labeling.
A Java-based open-source library that provides style and grammar checking for over 25 languages.
Unstructured is an open-source ETL solution for transforming complex documents into structured data for language models.
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
An open-source NLP research library built on PyTorch for advanced natural language processing tasks.
Unsupervised text tokenizer for neural network-based text generation and natural language processing.
Low-code framework for building custom LLMs, neural networks, and other AI models
An open-source annotation tool for machine learning practitioners to label data for training models.
Fast, state-of-the-art tokenizers optimized for research and production in AI/ML applications
This repository contains code examples for Stanford's TensorFlow for Deep Learning Research course.
A curated list of practical guide resources for working with large language models (LLMs) and NLP.
CoreNLP is a comprehensive NLP toolkit that provides powerful language processing capabilities for Java developers.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
OpenVINO is an open-source toolkit for optimizing and deploying AI inference on a variety of hardware.
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