1duo / awesome-ai-infrastructuresLinks
Infrastructures™ for Machine Learning Training/Inference in Production.
☆421Updated 6 years ago
Alternatives and similar repositories for awesome-ai-infrastructures
Users that are interested in awesome-ai-infrastructures are comparing it to the libraries listed below
Sorting:
- A curated list of awesome Distributed Deep Learning resources.☆426Updated 11 months ago
- Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersectio…☆276Updated last month
- PyTorch elastic training☆728Updated 3 years ago
- MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging…☆193Updated 2 years ago
- Deep Learning introduction and its application in various fields☆173Updated 4 years ago
- Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo☆447Updated last week
- Resource-adaptive cluster scheduler for deep learning training.☆445Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆392Updated 2 years ago
- A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and o…☆262Updated 2 years ago
- CDF SIG MLOps☆626Updated 7 months ago
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆132Updated 3 years ago
- Dive into Deep Learning Compiler☆646Updated 3 years ago
- CS294; AI For Systems and Systems For AI☆224Updated 5 years ago
- A GPipe implementation in PyTorch☆844Updated 11 months ago
- CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)☆430Updated 2 years ago
- ☆392Updated 2 years ago
- Multi Model Server is a tool for serving neural net models for inference☆1,013Updated last year
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,727Updated 11 months ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆480Updated last month
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆651Updated 3 months ago
- MLOps tutorial using Python, Docker and Kubernetes.☆398Updated 8 months ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆93Updated last year
- Lightweight and Parallel Deep Learning Framework☆264Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated last month
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,094Updated 10 months ago
- A GPU performance profiling tool for PyTorch models☆503Updated 4 years ago
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆493Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- A uniform interface to run deep learning models from multiple frameworks☆934Updated last year