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Docker for Your ML/DL Models Based on OCI Artifacts
The main features of kleveross/ormb are: Model Management.
Open-source alternatives to kleveross/ormb include: alexsjones/llmfit. allegroai/clearml — ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an… comet-ml/comet-examples — Examples of Machine Learning code using Comet.ml. dottxt-ai/outlines — Outlines is a library designed to ensure machine-readable output from generative models by applying programmatic… guidance-ai/llguidance — Performance results from MaskBench. iterative/dvc — DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models.…
ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an experiment tracking tool, a data versioning system, and a pipeline orchestrator, while providing infrastructure for GPU cluster management and model serving. The platform is distinguished by its ability to handle hybrid-cloud compute scheduling and fractional GPU allocation, allowing multiple workloads to share a single hardware accelerator. It employs a metadata-based approach to data versioning, using virtual views to track large datasets and artifacts without duplicating r
Examples of Machine Learning code using Comet.ml
Outlines is a library designed to ensure machine-readable output from generative models by applying programmatic constraints during the token sampling process. It functions as a toolkit for forcing large language models to generate text that strictly adheres to JSON schemas, regular expressions, and formal grammars, enabling the integration of model responses into existing software systems. The library distinguishes itself by integrating formal language rules directly into the sampling loop. It achieves this by converting regular expressions into deterministic finite automata and utilizing lo
