Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Scalable deep learning for industry with parallel GPUs.
Conversational AI library with many pre-trained Russian NLP models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
An open source machine learning framework in Rust Δ.
A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Deep learning in Rust, with shape checked tensors and neural networks.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A deep learning-based translation library between 50 languages, built with transformers.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Reading Wikipedia to answer open-domain questions.