Search results

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 supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Scalable deep learning for industry with parallel GPUs.

Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.

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.

Cheaper V4 model, supports thinking and non-thinking modes.

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.

Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.

Deep learning in Rust, with shape checked tensors and neural networks.

A deep learning-based translation library between 50 languages, built with transformers.

Clojure wrapper for Deeplearning4j.

Ready to use deeplearning docker images.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others).

Making neural nets uncool again, focused on making deep learning more accessible.

Library for high performance deep learning inference on NVIDIA GPUs.

News, community, and courses for people building AI-powered products.

Deep Neural Networks for Golang (powered by MXNet).

Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.