awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
Back to modelfoxdotdev/modelfox

Projects sharing features with Modelfox

12 open-source projects similar to modelfoxdotdev/modelfox, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • bentoml/openllmbentoml avatar

    bentoml/OpenLLM

    12,115View on GitHub↗

    OpenLLM is a framework for deploying, managing, and scaling open-source large language models

    Pythonbentomlfine-tuningllama
    View on GitHub↗12,115
  • dstack-tee/dstackDstack-TEE avatar

    Dstack-TEE/dstack

    499View on GitHub↗

    Open framework for confidential AI

    Rust
    View on GitHub↗499
  • infuseai/primehubInfuseAI avatar

    InfuseAI/primehub

    411View on GitHub↗

    open-source MLOps platform

    Shell
    View on GitHub↗411
  • kserve/kservekserve avatar

    kserve/kserve

    5,576View on GitHub↗

    KServe is a Kubernetes-native platform for deploying and serving machine learning models as scalable inference services. It supports both generative AI models, including large language models, and traditional predictive models from frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost, and ONNX. The platform manages the full lifecycle of model deployments, including revision tracking, canary rollouts, A/B testing, and automatic rollbacks, and provides serverless scale-to-zero capabilities for cost-efficient resource management. KServe distinguishes itself through a standardized infere

    Go
    View on GitHub↗5,576
  • kubeflow/kubeflowkubeflow avatar

    kubeflow/kubeflow

    15,739View on GitHub↗

    Kubeflow is a Kubernetes machine learning platform and containerized toolkit designed to orchestrate the entire machine learning lifecycle. It functions as an MLOps workflow orchestrator and infrastructure layer for building, training, and deploying models within containerized environments. The project provides specialized infrastructure for scaling compute resources and managing GPU workloads for large-scale distributed training. It automates the transition of models from experimental development to production through workflow orchestration and model deployment services. The platform covers

    View on GitHub↗15,739

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Find more with AI search
  • logicalclocks/hopsworkslogicalclocks avatar

    logicalclocks/hopsworks

    1,302View on GitHub↗

    Hopsworks - Data-Intensive AI platform with a Feature Store

    Java
    View on GitHub↗1,302
  • microsoft/paimicrosoft avatar

    microsoft/pai

    2,685View on GitHub↗

    Resource scheduling and cluster management for AI

    JavaScript
    View on GitHub↗2,685
  • mlflow/mlflowmlflow avatar

    mlflow/mlflow

    26,554View on GitHub↗
    Pythonagentopsagentsai
    View on GitHub↗26,554
  • polyaxon/polyaxonpolyaxon avatar

    polyaxon/polyaxon

    3,707View on GitHub↗

    Polyaxon is a Kubernetes-native machine learning orchestration platform and MLOps pipeline orchestrator. It serves as a control plane for managing distributed deep learning workloads, automated machine learning pipelines, and experiment tracking. The platform distinguishes itself through specialized services for distributed training management, including MPI-based coordination for PyTorch and TensorFlow. It provides an automated hyperparameter optimization service utilizing Bayesian, random, and grid search algorithms, alongside managed interactive AI workspaces for launching Jupyter notebook

    MDX
    View on GitHub↗3,707
  • seldonio/seldon-coreSeldonIO avatar

    SeldonIO/seldon-core

    4,752View on GitHub↗

    Seldon Core is a Kubernetes-based machine learning model server and MLOps inference framework. It functions as a multi-model serving engine and pipeline orchestrator, packaging models as scalable microservices that are exposed via standardized REST and gRPC APIs. The project distinguishes itself through graph-based inference pipelines that chain models and data transformers into sequential workflows. It optimizes hardware utilization via multi-model shared serving and dynamic memory overcommit strategies, while supporting production experimentation through weighted traffic routing, A/B testin

    Goaiopsdeploymentkubernetes
    View on GitHub↗4,752
  • star-whale/starwhalestar-whale avatar

    star-whale/starwhale

    236View on GitHub↗

    an MLOps/LLMOps platform

    Java
    View on GitHub↗236
  • tensorchord/openmodelztensorchord avatar

    tensorchord/openmodelz

    283View on GitHub↗

    Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others)

    Go
    View on GitHub↗283