Statistics for topic natural-language-understanding

🤗 AutoTrain Advanced

TensorFlow code and pre-trained models for BERT

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

An Open-Source Framework for Prompt-Learning.

This repo contains implementation of different architectures for emotion recognition in conversations.

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

🤗 AutoTrain Advanced

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

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

This repo contains implementation of different architectures for emotion recognition in conversations.

🤗 AutoTrain Advanced

TensorFlow code and pre-trained models for BERT

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

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

The implementation of DeBERTa

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

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

S.T.A.R.K. - Speech And Text Algorithmic Recognition Kit

🤗 AutoTrain Advanced

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

🤗 AutoTrain Advanced

TensorFlow code and pre-trained models for BERT

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

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

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

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

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

🤗 AutoTrain Advanced

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

AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI

Code for "Learning to Model the World with Language."

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

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

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

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(😽)

Code for "Learning to Model the World with Language."

🤗 AutoTrain Advanced

S.T.A.R.K. - Speech And Text Algorithmic Recognition Kit

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

A demo application to support my tutorial on building applications with GPT-3.