GoogleCloudPlatform / ml-testing-acceleratorsLinks
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
☆65Updated 5 months ago
Alternatives and similar repositories for ml-testing-accelerators
Users that are interested in ml-testing-accelerators are comparing it to the libraries listed below
Sorting:
- ☆145Updated last week
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆388Updated 5 months ago
- xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…☆151Updated this week
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆97Updated this week
- PyTorch RFCs (experimental)☆135Updated 5 months ago
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆103Updated this week
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆539Updated 2 months ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆400Updated this week
- ☆337Updated last week
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆54Updated this week
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆77Updated 2 months ago
- Home for OctoML PyTorch Profiler☆114Updated 2 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated last month
- A profiling and performance analysis tool for machine learning☆447Updated this week
- Common code for TFX☆67Updated 3 months ago
- ☆190Updated 3 weeks ago
- ☆53Updated last week
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- ☆57Updated last week
- General policies for MLPerf™ including submission rules, coding standards, etc.☆31Updated last month
- struct2tensor is a library for parsing and manipulating structured data inside of tensorflow.☆34Updated last month
- ☆16Updated 8 months ago
- A tensor-aware point-to-point communication primitive for machine learning☆275Updated last week
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆166Updated last month
- Example code and applications for machine learning on Graphcore IPUs☆331Updated last year
- ☆252Updated last year
- JAX-Toolbox☆359Updated this week
- Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)☆201Updated this week
- This repository compiles prescriptive guidance and code samples for the operationalization of NVIDIA Merlin framework on Google Cloud Ver…☆34Updated 3 years ago
- ☆360Updated 2 weeks ago