Stars
An extensible benchmark for evaluating large language models on planning
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Notes for the CCLAW reading list in zettelkasten format.
This repository contains the paper list for the paper: Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
📖 Home for the Data2Services project documentation
Website for the KGC 2020 Tutorial: "Building a Knowledge Graph from schema.org annotations"
Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings
A library for efficient similarity search and clustering of dense vectors.
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
Top2Vec learns jointly embedded topic, document and word vectors.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
Models, data loaders and abstractions for language processing, powered by PyTorch
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
negedng / bert-embedding
Forked from imgarylai/bert-embedding🔡 Token level embeddings from BERT model on mxnet and gluonnlp
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
TensorFlow code and pre-trained models for BERT
Simple XLNet implementation with Pytorch Wrapper
XLNet: Generalized Autoregressive Pretraining for Language Understanding
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions