google / vertex-ai-nasLinks
With Vertex AI NAS, you can search for optimal neural architectures in terms of accuracy, latency, memory, a combination of these, or a custom metric.
☆29Updated last year
Alternatives and similar repositories for vertex-ai-nas
Users that are interested in vertex-ai-nas are comparing it to the libraries listed below
Sorting:
- xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…☆136Updated this week
- ☆51Updated 3 weeks ago
- struct2tensor is a library for parsing and manipulating structured data inside of tensorflow.☆34Updated 4 months ago
- ☆142Updated last week
- ☆19Updated last week
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆64Updated last month
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆96Updated this week
- NVIDIA's launch, startup, and logging scripts used by our MLPerf Training and HPC submissions☆29Updated 2 weeks ago
- General policies for MLPerf™ including submission rules, coding standards, etc.☆30Updated last week
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆50Updated this week
- Real-time visualisation☆18Updated 2 weeks ago
- ☆98Updated last week
- ☆95Updated this week
- Machine learning for machine code.☆91Updated 3 weeks ago
- Repository for ONNX working group artifacts☆28Updated 2 weeks ago
- Cluster Toolkit is an open-source software offered by Google Cloud which makes it easy for customers to deploy AI/ML and HPC environments…☆277Updated this week
- ☆187Updated last week
- Notes and artifacts from the ONNX steering committee☆26Updated last week
- Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.☆107Updated this week
- GPU Environment Management for Visual Studio Code☆39Updated 2 years ago
- Scoreboard for ONNX Backend Compatibility☆29Updated this week
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆118Updated last week
- ☆115Updated last week
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated 10 months ago
- JAX-Toolbox☆329Updated this week
- ☆38Updated this week
- ☆34Updated 2 years ago
- jax-triton contains integrations between JAX and OpenAI Triton☆412Updated last month
- ☆238Updated last week
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆167Updated 2 weeks ago