MTEB: Massive Text Embedding Benchmark
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Updated
May 31, 2024 - Python
MTEB: Massive Text Embedding Benchmark
NucliaDB, The AI Search database for RAG
Instructions, exercises and example data sets for Annif hands-on tutorial
OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
Client interface for all things Cleanlab Studio
Completion After Prompt Probability. Make your LLM make a choice
Natural Language Processing (NLP)
Mono Repository for GengoAI projects
Text classification model - Bs.c degree final project
Genetic Algorithm Evolving To Solve a Phrase
KANs for text classification on GLUE tasks
State of the Art Natural Language Processing
FLARES: FINE-GRAINED LANGUAGE-BASED RELIABILITY DETECTION IN SPANISH NEWS
This repository contains the code and scripts used in my thesis project, which aims to build various BERT and LSTM models to detect AI generated texts in both English and Arabic languages.
Data Science for Psychology: A Book
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
Here, we will implement these steps to build a language model in NLP. NLP focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate human language in a way that is both meaningful and useful.
This repository contains projects that classify texts using a variety of machine learning and deep learning models. The projects show use-cases of classifying text data through Natural Language Processing methods.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
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