intel / AiKit-code-samplesLinks
☆26Updated 2 years ago
Alternatives and similar repositories for AiKit-code-samples
Users that are interested in AiKit-code-samples are comparing it to the libraries listed below
Sorting:
- oneAPI Specification source files☆204Updated 3 weeks ago
- TensorFlow-nGraph bridge☆136Updated 4 years ago
- Utilities for passing TensorFlow-related metadata between tools☆110Updated 3 weeks ago
- Inference Model Manager for Kubernetes☆46Updated 6 years ago
- This repository is outdated! Join the open MLPerf workgroup to participate in the development of the next generation of automation workfl…☆31Updated 2 years ago
- Computation using data flow graphs for scalable machine learning☆68Updated this week
- Issues related to MLPerf™ training policies, including rules and suggested changes☆95Updated last week
- Repository for ONNX working group artifacts☆27Updated 3 weeks ago
- OpenVINO™ integration with TensorFlow☆179Updated last year
- Tensorflow conda recipes☆28Updated 2 years ago
- Issues related to MLPerf™ Inference policies, including rules and suggested changes☆63Updated this week
- scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently suppo…☆118Updated last month
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆166Updated last week
- Notes and artifacts from the ONNX steering committee☆26Updated last week
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 6 years ago
- Scoreboard for ONNX Backend Compatibility☆29Updated this week
- Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learn…☆108Updated 2 years ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆89Updated 2 years ago
- Benchmarks to capture important workloads.☆31Updated 5 months ago
- RAPIDS GPU-BDB☆108Updated last year
- Deep Learning Benchmarking Suite☆129Updated 2 years ago
- WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.☆19Updated 2 months ago
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…☆716Updated this week
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆64Updated last month
- ☆51Updated 5 years ago
- oneCCL Bindings for Pytorch*☆99Updated this week
- Machine Learning using oneAPI. Explores Intel Extensions for scikit-learn* and NumPy, SciPy, Pandas powered by oneAPI☆39Updated 11 months ago
- Dockerfiles and scripts for ONNX container images☆137Updated 2 years ago
- The System Stacks for Linux* OS are a collection of production ready docker images for Deep Learning, Media and Storage optimized for 2nd…☆33Updated 2 years ago
- ☆82Updated last year