Natural Language Processing
Showing 36 of 92 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 machine learning.
A repository of state-of-the-art model implementations and examples built with TensorFlow, demonstrating best practices for research and production.
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.
A collection of pre-trained machine learning models ported to TensorFlow.js for use directly in the browser or Node.js.
Offline speech recognition toolkit supporting 20+ languages with small models and streaming API.
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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