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Neptune

Appears in 6 awesome lists

Community-friendly platform supporting data scientists in creating and sharing machine learning models. Neptune facilitates teamwork, infrastructure management, models comparison and reproducibility.

Open neptune.ai

Found in these lists

Awesome Big Data

Section: Machine Learning · experiment tracking and model registry for research and production machine learning teams.

ActiveScore 84

AWESOME DATA SCIENCE

Section: Miscellaneous Tools · Community-friendly platform supporting data scientists in creating and sharing machine learning models. Neptune facilitates teamwork, infrastructure management, models comparison and reproducibility.

FreshScore 92

Awesome Deep Learning

Section: Tools · Lightweight tool for experiment tracking and results visualization.

SlowScore 59

Awesome MLOps

Section: Model Lifecycle · The most lightweight experiment management tool that fits any workflow.

FreshScore 80

Awesome Python Data Science

Section: Experimentation · A lightweight ML experiment tracking, results visualization, and management tool.

ActiveScore 71

Awesome Software Engineering for Machine Learning

Section: Tooling · Experiment tracking tool bringing organization and collaboration to data science projects.

StaleScore 51

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

Opik

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…

In 16 listsDetails

Netron

Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).

In 15 listsDetails

Apache Airflow

"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…

In 13 listsDetails

Ray

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

In 13 listsDetails

Gradio

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.

In 11 listsDetails

Prefect

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.

In 11 listsDetails

MindsDB

MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.

In 11 listsDetails