Open source platform for the machine learning lifecycle
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Updated
May 31, 2023 - Python
Open source platform for the machine learning lifecycle
Unified Model Serving Framework
Open Source ML Model Versioning, Metadata, and Experiment Management
Docker for Your ML/DL Models Based on OCI Artifacts
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
Developer platform for production ML.
Cloud Native ML/DL Platform
Experiment tracking for machine and deep learning projects
BentoML Example Projects
Make ML
Cloud Native Machine Learning Model Registry
Solution for deploying and managing end-to-end federated learning workflows
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management
Evaluate and compare LLM outputs and build decision making workflows. Test prompt quality and catch regressions. https://docs.apolloapi.io
An opinionated framework for deploying, managing, and serving application workloads
A lightweight command line interface for the management of arbitrary machine learning tasks
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data
mix reducer and class together, so we can use react useReducer like useClass, but still like use a reducer.
Polyaxon Clients & Langange SDKS
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