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Examples of Machine Learning code using Comet.ml
Comet LLM is an observability platform and evaluation framework designed for large language model applications and agentic workflows. It functions as a system for tracing, monitoring, and debugging execution flows while providing tools for prompt optimization and the enforcement of AI safety guardrails. The platform distinguishes itself through a combination of model-based scoring and heuristic metrics to quantify output quality and detect hallucinations. It includes a dedicated prompt and agent optimizer with an interactive playground for refining templates and tool configurations. For retri
Template repository for data science lifecycle project
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
The main features of dslp/dslp are: MLOps and Pipelines, Data Science Tooling, Data Science Tools.
Projects with overlapping indexed features include: dslp/dslp-repo-template — Template repository for data science lifecycle project. iterative/cml — CML is a pipeline automation tool for training and evaluating machine learning models, functioning as a CI/CD system… comet-ml/comet-examples — Examples of Machine Learning code using Comet.ml. comet-ml/comet-llm — Comet LLM is an observability platform and evaluation framework designed for large language model applications and… asavinov/lambdo — Feature engineering and machine learning: together at last! iterative/dvc — DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models.…
