Natural Language Processing
Showing 36 of 265 projects
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A comprehensive collection of Chinese NLP resources, datasets, tools, and pre-trained models for developers and researchers.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for machine learning.
A collection of example code and guides for accomplishing common tasks with the OpenAI API.
TensorFlow implementation and pre-trained models for BERT, a bidirectional Transformer for language understanding.
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A Python library for Chinese text segmentation, offering multiple modes, custom dictionaries, and keyword extraction.
Connects ChatGPT with visual foundation models to enable sending and receiving images during chat interactions.
Industrial-strength Natural Language Processing library for Python, featuring pretrained pipelines for 70+ languages and production-ready training.
A collection of concise PyTorch tutorials for deep learning researchers, with most models implemented in under 30 lines of code.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
A Python library that enables conversational data analysis on SQL, CSV, and parquet files using LLMs and RAG.
A community-driven repository tracking datasets and state-of-the-art results for common NLP tasks across multiple languages.
A fast, automated tool that decrypts encryptions, decodes encodings, and cracks hashes without prior knowledge of the key or cipher.
A Python framework for computing and training state-of-the-art text embeddings, rerankers, and sparse encoders.
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
Open-source AI platform for building private agents, assistants, and enterprise search with document analysis and multi-model support.
A curated index of the latest and best machine learning and AI courses available on YouTube, organized by topic.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.
Offline speech recognition toolkit supporting 20+ languages with small models and streaming API.
A collection of pre-trained machine learning models ported to TensorFlow.js for use directly in the browser or Node.js.
A comprehensive Python library for natural language processing, providing modules, datasets, and tutorials for NLP research and development.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A curated list of open-source large language models licensed for commercial use, including models for general text and code generation.
A lightweight JavaScript library for natural language processing that transforms text into structured data with a modest, pragmatic approach.
An unsupervised text tokenizer and detokenizer for neural network-based text generation systems with subword units.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.
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