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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.
Basic proof of concept for genetic architecture search in Keras.
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.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Imagen by Google is a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.