cleanlab

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

[FSDL - Spring 2021] Finding noisy labels from datasets & Noisy Training

Empirical investigation of when data quality remediation outperforms architectural upgrades in NLP text classification, across 135 experimental conditions spanning five corpora, three architectures, and four annotation cost tiers.

Build machine learning model to predict the character of each image.

Evaluation and wrapping cleanlab for galaxy project.

The complete pipeline for a fine-tuning of a classifier model.

Cleanlab and MachineHack Organised Data-Centric AI Competition 2023. This is One of Solution I tried and achieved 13th rank.

Este repositorio contiene el código, datos y recursos utilizados en el estudio "Machine Learning en la Apicultura: Clasificación Avanzada del Estado de Colmenas con Pipeline Optimizado y Etiquetado Preciso" por Axel A. Skrauba, Hector De Sosa, y Sandro D. Zakowicz.

Machine learning image classifier trained on 8,538 handwashing images to recognise 8 handwashing stages using MobileNetV2 transfer learning, Cleanlab label cleaning, data augmentation, and TensorFlow/Keras evaluation.