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#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Representation learning on large graphs using stochastic graph convolutions.
#大语言模型#Chat with any codebase in under two minutes | Fully local or via third-party APIs
#计算机科学#A library for training and deploying machine learning models on Amazon SageMaker
#时序数据库#Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
#大语言模型#Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and video models.
Code and associated files for the deploying ML models within AWS SageMaker
Belle, Bonne, Sage — music notation
gerbera sage
Example Roots stack project (Trellis, Bedrock, Sage)
Titan ASP.Net for Sage CRM
Asynchronous JavaScript for dummies
#计算机科学#For calculating global feature importance using Shapley values.
Proteomics search & quantification so fast that it feels like magic
Sparse Additive Generative Model of Text
Compose ACF Fields, Blocks, Widgets, and Option Pages with ACF Builder on Sage 10.