Machine learning platforms for model training, deployment, MLOps, and AI infrastructure
ML IDE by AWS
⭐ 4.3/5
AWSMLIDE
Unified analytics engine for large-scale data
⭐ 4.4/5
big datadistributedopen source
Unified model serving framework
⭐ 4.5/5
model servingdeploymentopen source
Open-source MLOps platform
⭐ 4.4/5
MLOpsopen sourcepipelines
ML experiment management platform
⭐ 4.4/5
experiment trackingMLOpsmonitoring
Parallel computing with Python
⭐ 4.3/5
parallel computingPythonscalable
Data and AI platform
⭐ 4.4/5
lakehouseSpark
Collaborative notebooks on Databricks
⭐ 4.5/5
notebooksSparkcollaborative
Everyday AI platform for teams
⭐ 4.4/5
AI platformvisual MLcollaborative
Version control for ML projects
⭐ 4.4/5
version controldata versioningGit
ML model monitoring and testing
⭐ 4.5/5
monitoringdata driftmodel quality
Open-source feature store
⭐ 4.3/5
feature storeMLopen source
Serverless data warehouse
⭐ 4.4/5
Googleserverlesswarehouse
Free cloud-hosted Jupyter notebooks
⭐ 4.5/5
cloudfree GPUnotebooks
The AI community platform
⭐ 4.7/5
NLPmodelstransformers
Data science community and notebook platform
⭐ 4.5/5
communitycompetitionsdatasets
ML toolkit for Kubernetes
⭐ 4.1/5
KubernetesML pipelinesopen source
Open-source data labeling platform
⭐ 4.5/5
labelingannotationopen source
Open source ML lifecycle
⭐ 4.4/5
MLOpsopen source
Experiment tracking for ML teams
⭐ 4.6/5
experiment trackingmodel registryMLOps
Distributed computing framework for ML
⭐ 4.5/5
distributedscalingPython
Scalable data science in the cloud
⭐ 4.4/5
cloudDaskGPU
ML model deployment on Kubernetes
⭐ 4.3/5
model servingKubernetesdeployment
End-to-end ML platform
⭐ 4.2/5
TensorFlowproduction MLGoogle
ML experiment tracking
⭐ 4.7/5
MLOpsexperiment tracking