ソニーがディープラーニング用“コアライブラリ”をオープンソース化
NVIDIA Maxine
NVIDIA Maxine NVIDIA Maxine is a developer platform for deploying AI features that enhance audio, video, and add augmented reality effects in real time. Maxine’s state-of-the-art models create high-quality effects that can be achieved with standard microphone and camera equipment. Maxine can be deployed on premises, in the cloud, or at the edge. NVIDIA Maxine is exclusively part of NVIDIA AI Enter
GitHub - amazon-archives/amazon-dsstne: Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sparse outputs. Models with weight matrices that are too large for a single GPU can still be trained on a single host. DSSTNE has been used at Amazon to generate personalized product recommendations for our customers at Amazon's sc
Keras Documentation
Keras is now available for JAX, TensorFlow, and PyTorch! Read the Keras 3.0 release announcement "Keras is one of the key building blocks in YouTube Discovery's new modeling infrastructure. It brings a clear, consistent API and a common way of expressing modeling ideas to 8 teams across the major surfaces of YouTube recommendations." Maciej Kula Staff Software Engineer - Google "Keras has tremendo
Caffe | Deep Learning Framework
Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Why Caffe? Expressive architecture encourages application and innovat
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