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.
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.
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.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Imagen by Google is a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
Koç University Deep Learning Framework.
Deep learning framework written in Kotlin.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
"transforming the future of music creation".
Application-oriented deep reinforcement learning framework addressing real-world decision problems.