1duo / awesome-ai-infrastructures
Infrastructures™ for Machine Learning Training/Inference in Production.
☆412Updated 5 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
- A curated list of awesome Distributed Deep Learning resources.☆421Updated 8 months ago
- Dive into Deep Learning Compiler☆646Updated 2 years ago
- PyTorch elastic training☆730Updated 2 years 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…☆273Updated 6 years ago
- MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging…☆192Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- Curating a list of AutoML-related research, tools, projects and other resources☆885Updated 6 months ago
- PyTorch on Kubernetes☆309Updated 3 years ago
- CS294; AI For Systems and Systems For AI☆224Updated 5 years ago
- CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)☆425Updated 2 years ago
- Full Stack Deep Learning Online Course☆898Updated 3 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆390Updated 2 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆438Updated 2 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆510Updated 7 months ago
- A uniform interface to run deep learning models from multiple frameworks☆935Updated last year
- A GPipe implementation in PyTorch☆836Updated 9 months ago
- Lightweight and Parallel Deep Learning Framework☆261Updated 2 years ago
- Deep Learning introduction and its application in various fields☆173Updated 4 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆644Updated 3 weeks ago
- ☆389Updated 2 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆92Updated last year
- A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and o…☆261Updated 2 years ago
- CDF SIG MLOps☆618Updated 4 months ago
- A low-latency prediction-serving system☆1,414Updated 4 years ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,040Updated last year
- MLOps tutorial using Python, Docker and Kubernetes.☆391Updated 6 months ago
- Easily benchmark machine learning models in PyTorch☆149Updated last year
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆494Updated last year
- Distributed Computing for AI Made Simple☆1,045Updated 2 years ago
- Resources for Data Science Process management☆204Updated 5 years ago