Showing 161-180 of 459 projects
Jiagu is a deep learning-based NLP toolkit that provides features like Chinese word segmentation, NER, sentiment analysis, and more.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
A Python library that provides superfast AI decision-making and intelligent multi-modal data processing.
HippoRAG is a novel RAG framework that enables LLMs to continuously integrate knowledge across external documents.
A curated list of language modeling research for code and software engineering activities.
A library for training multilingual word embeddings, useful for NLP tasks across languages.
An open-source Chinese NLP library providing state-of-the-art tools for word segmentation, dependency parsing, named entity recognition, and more.
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
MTEB is a benchmark for evaluating and comparing text embedding models across multiple tasks and languages.
An extensible NLP framework for building powerful text processing and analysis applications in Python.
A Python library for document AI tasks like layout analysis, table detection, and text extraction.
An open-source, instruction-tuned audio-visual language model for video understanding
A toolkit for creating, sharing, and using natural language prompts for machine learning tasks.
A collection of deep learning and reinforcement learning research papers, codes, and resources.
MITIE is a C++ library and tools for information extraction, with support for Java and Python.
This repository provides a roadmap and code samples for machine learning, deep learning, and related AI technologies.
C++ implementation of large language models ChatGLM-6B, ChatGLM2-6B, ChatGLM3 and GLM4(V) for natural language processing.
A collection of 100 deep learning examples for computer vision, NLP, and other AI/ML tasks using TensorFlow and PyTorch.
Pytorch implementations of various Deep NLP models used in the Stanford NLP course cs-224n
A model library for exploring state-of-the-art deep learning techniques for optimizing NLP neural networks.
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