1. Data preprocessing
  2. Python
  3. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 1 - 10 of 34
airflow by apache


Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
dask by dask


Parallel computing with task scheduling
transformers by huggingface


🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
metaflow by Netflix


:rocket: Build and manage real-life data science projects with ease!
Neuraxle by Neuraxio


A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
featuretools by alteryx


An open source python library for automated feature engineering
bonobo by python-bonobo


Extract Transform Load for Python 3.5+
tfx by tensorflow


TFX is an end-to-end platform for deploying production ML pipelines
flyte by flyteorg


Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
data-validation by tensorflow


Library for exploring and validating machine learning data