8 projects
generator-prompt-kit
A Python Library for Automated Generator Prompting and Dataset Generation
genetic-prompt-lab
GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
ProTaska-GPT
Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.
adaptkeybert
AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation.
Transformer-Text-AutoEncoder
Transformer Text AutoEncoder: An autoencoder is a type of artificial neural network used to learn efficient encodings of unlabeled data, the same is employed for textual data employing pre-trained models from the hugging-face library.
DPSDV
Creating a Differential Privacy securing Synthetic Data Generation for tabular, relational and time series data.
NERDA-Con
Extending NERDA Library for Continual Learning
Threaded-Sparse-TFIDF
Multithreading TF-IDF vectorization for similarity search using sparse matrices for computations.