Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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1–12 of 12 · Most stars
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- python
- utilities
- cache
- data-structures
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
- data
- python
- data-engineering
- data-lake
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
Messaging library for Python.
- celery
- messaging
- python
- message-queue
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
- dataprep
- data-science
- datapreparation
- dataconnector
Lightweight and extensible compatibility layer between dataframe libraries!
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
amqplib fork
- python
- amqp-client
- amqp
- amqp-connection
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines
- etl
- etl-framework
- etl-pipeline
- python
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
- collaborative-editing
- conflict-resolution
- crdt
- data-engineering