Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Updated
May 29, 2024 - Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Automated Machine Learning on Kubernetes
Public dataset benchmarks used for measuring the performance of MindsDB.
Fast and Accurate ML in 3 Lines of Code
Allows automatic gradient norm clipping. This feature can help to stabilize training in certain situations by limiting the magnitude of gradient updates. The implementation is inspired by the paper "AutoClip: Adaptive Gradient Clipping for Source Separation Networks"
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
An open source python library for automated feature engineering
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Successive Halving and Hyperband in the mlr3 ecosystem
Lightning ⚡️ fast forecasting with statistical and econometric models.
Automated modeling and machine learning framework FEDOT
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
Khiops is an AutoML suite for supervised and unsupervised learning
EvalML is an AutoML library written in python.
Python framework for automated time series classification and regression
Analytics & Machine Learning R Sidekick
Benchmarks of AutoML Frameworks
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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