ml-infrastructure
There are 33 repositories under ml-infrastructure topic.
Netflix/metaflow
Build, Manage and Deploy AI/ML Systems
skypilot-org/skypilot
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
mryab/efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
RunLLM/aqueduct
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
Netflix/metaflow-service
:rocket: Metadata tracking and UI service for Metaflow!
machine-learning-apps/actions-ml-cicd
A Collection of GitHub Actions That Facilitate MLOps
hamelsmu/ktext
Utilities for preprocessing text for deep learning with Keras
mlinfra-io/mlinfra
deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command
Project-MONAI/monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
slai-labs/get-beam
Run GPU inference and training jobs on serverless infrastructure that scales with you.
NimbleBoxAI/nbox
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
RubixML/Server
A standalone inference server for trained Rubix ML estimators.
velda-io/velda
Run GPU or batch jobs directly from your dev environment
determined-ai/determined-examples
Example ML projects that use the Determined library.
kubeflow/blog
Kubeflow blog based on fastpages
fuzzylabs/vertex-edge
A tool for training models to Vertex on Google Cloud Platform.
outerbounds/metaflow-card-notebook
Render Jupyter Notebooks With Metaflow Cards
otaviog/rflow
RFlow - A workflow framework for agile machine learning
openlayer-ai/openlayer-python
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
redbco/infermesh
GPU-aware inference mesh for large-scale AI serving
dao-duc-tung/sagemaker-ml-system
A SageMaker-based ML system solution
arindas/tfug-ml-mq-infer
Transcript and slides for the talk "Message Queues: Function and role in ML Inference" on 18th June 2023 at TFUG Kolkata
gershonc/mlflow_showcase
Showcase of MLflow capabilities
Propheto-io/propheto
Main python package for deploying and managing machine learning models in production
fastmachinelearning/gw-iaas
Deep learning inference-as-a-service tools and pipelines for gravitational wave physics
yennanliu/HousePricePredAPI
ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
AxelGard/grazing-cira
Cira set in production
anastasiamkh/aws-dataflow-simulator
Python package that simplifies the creation of AWS infrastructure for simulating real-time data streaming and batch processing, ideal for integrating into machine learning projects.
DeCenter-AI/decenter-ai.streamlit.app
Decenteralized AI training platform for all
ai-enhanced-engineer/ml-production-service
Reference implementation for deploying ML models from notebooks to production
NANDHARAJ5/ai-access
🤖 Access various AI models effortlessly with this unified PHP library, streamlining development through a consistent API and easy provider switching.
st00mp/cloud-broker
🔮 Cloud Broker is a web application that aggregates and displays GPU offers from different cloud providers (currently only AWS) to facilitate finding the best options for training artificial intelligence models. The application allows filtering offers by GPU type, provider, region, and price.