Statistics for topic natural-language-understanding

TensorFlow code and pre-trained models for BERT

🤗 AutoTrain Advanced

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Code for "Learning to Model the World with Language." ICML 2024 Oral.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and...

TensorFlow code and pre-trained models for BERT

🤗 AutoTrain Advanced

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

An Open-Source Framework for Prompt-Learning.

Natural Language Processing Courses with Resources

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

🤗 AutoTrain Advanced

TensorFlow code and pre-trained models for BERT

🤗 AutoTrain Advanced

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

An Open-Source Framework for Prompt-Learning.

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

Learn Generative AI with PyTorch (Manning Publications, 2024)

Natural Language Processing Courses with Resources

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

Stanford cs224n. 斯坦福2019最新cs224n学习资料 个人学习笔记和解读以及作业解答。 http://web.stanford.edu/class/cs224n/

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

TensorFlow code and pre-trained models for BERT

🤗 AutoTrain Advanced

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

An Open-Source Framework for Prompt-Learning.

LLM(😽)

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

Natural Language Processing Courses with Resources

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.