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AI Models

Explore AI models, their documented capabilities, access methods and deployment requirements. Compare official resources, requirements and limitations.

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AI Models projects

fastText fastText is an open-source library for learning word representations and classifying text, including subword-based vectors that can represent unseen or misspelled words.

L Lightgbm — lightgbm-org LightGBM is an open-source gradient-boosting framework based on decision-tree algorithms for ranking, classification and other machine-learning tasks.

X xlearn-doc.readthedocs.io xLearn is a machine-learning package for large-scale sparse-data problems, with Python and command-line workflows for training and prediction.

U Uni2Ts Uni2Ts is an open-source PyTorch library for research and applications in time-series forecasting.

B Bumblebee Bumblebee is an open-source Elixir library built on Axon for downloading supported pretrained neural-network models from Hugging Face and running machine-learning tasks. It provides task-oriented pipelines that can be used with Nx Serving.

C Cevahir AI Cevahir AI is an open-source Python engine that combines a Turkish-focused BPE tokenizer, a configurable PyTorch Transformer decoder, language-model training and checkpoint management, generation, and conversational workflows.

E Ernie Ernie is the repository for the ERNIE 4.5 model family and ERNIEKit, a PaddlePaddle-based development toolkit for model training and deployment workflows.

M Medicalgpt MedicalGPT is a Python framework in a public GitHub repository for training medical GPT-style language models through continued pretraining, supervised fine-tuning and preference-optimization methods.