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Déjà vu: Modeling DNN Performance by Recalling History
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
Caffe agent for CarML
Generate authentication keys (rai_profile)
The RAI client allows one to interact with a cluster of machine to submit and evaluate code. RAI is a scalable job submission system designed for diverse workloads. RAI’s design addresses challenges of scalability, configurability, security, and cost in delivering a flexible programming environments.
RAI client logic
Database models used by RAI and MLModelScope
Common utility functions
rai-srcmanager is the utility for managing the rai repositories.
RAI server logic
Golang bindings to Caffe as used by CarML
Evaluation tools for model performance / accuracy for CarML
Common code for all deep learning predictors used by CarML
An implementation of Go binding for libjpeg (or libjpeg-turbo).
The RAI sever evaluates build requests within a container environment. RAI is a scalable job submission system designed for diverse workloads. RAI’s design addresses challenges of scalability, configurability, security, and cost in delivering a flexible programming environments.
Tools to work with nvprof output
Crash your app in style (Golang)
NVIDIA-SMI abstractions. Used to detect the GPU hardware on the system
Image processing utility functions used by CarML
Use NVIDIA CUPTI from within GO
Most used topics
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