Pinned Repositories
dockerfile-builder
The aim of D4P is to enrich the PowerPC container ecosystem by providing both a platform for developers to create docker containers, and for PowerPC community to find docker images. We have already built and published over 200 docker images using this platform, and they are available both in the D4P's image catalog or accessible through the C3SR center's Docker Hub link.
go-fasttext
go-mxnet
Go binding to MXNet C API to do inference with pre-trained model in Go
go-pytorch
go-tensorrt
Go binding to TensorRT C API to do inference with pre-trained model in Go
mlmodelscope
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
rai
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.
raid
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.
tensorflow-go-examples
Examples of using TensorFlow Go API for different Deep Learning models
trims_mxnet
run using https://github.com/rai-project/trims-tools
rai's Repositories
rai-project/mlmodelscope
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
rai-project/go-tensorrt
Go binding to TensorRT C API to do inference with pre-trained model in Go
rai-project/tensorflow-go-examples
Examples of using TensorFlow Go API for different Deep Learning models
rai-project/go-pytorch
rai-project/go-mxnet
Go binding to MXNet C API to do inference with pre-trained model in Go
rai-project/go-cupti
Use NVIDIA CUPTI from within GO
rai-project/mxnet
MXNet agent for MLModelScope
rai-project/pytorch
rai-project/tensorflow
TensorFlow agent for MLModelScope
rai-project/dlframework
Common code for all deep learning predictors used by MLModelScope
rai-project/config
Configuration entry point for both RAI and CarML
rai-project/dockerfile-builder
The aim of D4P is to enrich the PowerPC container ecosystem by providing both a platform for developers to create docker containers, and for PowerPC community to find docker images. We have already built and published over 200 docker images using this platform, and they are available both in the D4P's image catalog or accessible through the C3SR center's Docker Hub link.
rai-project/evaluation
Evaluation tools for model performance / accuracy for MLModelScope
rai-project/tensorrt
TensorRT agent for MLModelScope
rai-project/dldataset
Builtin deep learning datasets used by MLModelScope
rai-project/scratch
rai-project/tracer
Common tracer abstraction
rai-project/trims_mxnet
run using https://github.com/rai-project/trims-tools
rai-project/aresdb
A GPU-powered real-time analytics storage and query engine.
rai-project/cudnn_scope
Benchmark cuDNN for different Deep Learning layers.
rai-project/dlperf
Déjà vu: Modeling DNN Performance by Recalling History
rai-project/go-mkl-dnn
rai-project/grpc
rai-project/lib_log_parser
rai-project/menoh
rai-project/onnx_examples
ONNX model inference using different backend frameworks
rai-project/pytorch_dlperf_opt
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rai-project/service
rai-project/synthetic_benchmark
rai-project/tensorrt_samples
Samples from TensorRT installation