AWESOME DATA SCIENCE
Section: Miscellaneous Tools · A platform built on open source tools for data, model and pipeline management.
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Appears in 4 awesome lists
Community platform for Open Source ML – Manage experiments, data & models and create collaborative ML projects easily.
Section: Miscellaneous Tools · A platform built on open source tools for data, model and pipeline management.
Section: Tools · Community platform for Open Source ML – Manage experiments, data & models and create collaborative ML projects easily.
Section: Machine Learning Platform · A platform built on open source tools for data, model and pipeline management.
Section: Hosting pretrained models files · versioning, no size limitations, free bandwith
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.