29 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Fast and Accurate ML in 3 Lines of Code | 859K | |
| Simple, Pythonic building blocks to evaluate LLM applications. | 5K | |
| Tokeniser toolkit: a collection of Pythonic subword tokenisers and text preproce... | 2K | |
| Uncertainty Estimation Toolkit for Transformer Language Models | 2K | |
| Contain functions and classes to efficiently train a sequence to sequence to tra... | 2K | |
| Frame Semantic Parser based on T5 and FrameNet | 1K | |
| Sensitivity testing (fairness, robustness & safety) for text machine learning mo... | 1K | |
| A Python package for automatically training and comparing language models. | 1K | |
| TextSlinger: Fast and accurate text predictions in Python | 861 | |
| All the goto functions you need to handle NLP use-cases, integrated in NLPretext | 632 | |
| BackdoorMBTI is an open source project expanding the unimodal backdoor learning ... | 531 | |
| Contain function and classes to process corpora for making translation between w... | 443 | |
| A package for OCR, XAI, data augmentation, and sentiment analyzer | 303 | |
| Audio processing | 275 | |
| Vulnerability Oriented Red-teaming for AI Knowledge | 242 | |
| LMOps Tool for Korean | 223 | |
| Framework for creating, running and validation of ML models on tabular data | 213 | |
| This project is about the NLP task for text perturbation using different methods... | 193 | |
| NLP Processor & SBERT Training Tool | 160 | |
| LMOps Tool for Korean | 149 | |
| A library for efficient semi-supervised clustering with large language models. | 149 | |
| Python library to Integrate AI-powered features into your applications | 136 | |
| Fast query safety screening library for fraud, harm, and unethical intent detect... | 96 | |
| Frame Semantic Parser based on T5 and FrameNet | 94 | |
| Fast query safety screening library for fraud, harm, and unethical intent detect... | 91 | |
| This project helps create synthetic window titles for model training. | 66 | |
| LMOps Tool for Korean | 55 | |
| This project is about the NLP task for text perturbation using different methods... | 1 |
