Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
- Updated
Apr 27, 2025 - Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A hyperparameter optimization framework
Modin: Scale your Pandas workflows by changing a single line of code
🪓 Run Background Tasks at Scale
💖 High available distributed ip proxy pool, powerd by Scrapy and Redis
Fast job queuing and RPC in python with asyncio and redis.
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Distributed ML Training and Fine-Tuning on Kubernetes
Official Implementation of 'Fast AutoAugment' in PyTorch.
MLBox is a powerful Automated Machine Learning python library.
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Making data lake work for time series
Redis for humans. 🌎🌍🌏
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
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