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
Jun 11, 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.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A curated list of automated machine learning papers, articles, tutorials, slides and projects
NYUS.2 is an auto machine learning-empowered prediction model for grapevine freezing tolerance
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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.
Analytics & Machine Learning R Sidekick
Fast and Accurate ML in 3 Lines of Code
TensorFlow 101: Introduction to Deep Learning
Automated Machine Learning on Kubernetes
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Python automated machine learning framework.
Intel® End-to-End AI Optimization Kit
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
EvalML is an AutoML library written in python.
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