Alternatives to Automl.org - Similar Sites & Competitors
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AutoML.org shares resources, research, and tools to help automate machine learning tasks, making advanced ML accessible even without expert knowledge.
Explore automated machine learning resources
AutoML.org is your go-to resource for all things related to automated machine learning. The site offers research, publications, benchmarks, and tools designed to make machine learning more accessible and efficient, even for those without deep technical expertise. Whether you're a student, researcher, or practitioner, you'll find valuable information on topics like hyperparameter optimization, meta-learning, and neural architecture search.
You can dive into best practices, read up on the latest academic papers, and explore educational materials to help you understand and apply AutoML in your work. The site also spotlights events, conferences, and ongoing projects in the field, making it a great hub for staying current with automation in machine learning. If you're interested in learning how to streamline and improve your ML workflows, this is a great place to start.
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TransferLab shares practical machine learning tools, research, and training to help businesses and practitioners apply AI in real-world settings.
fast.ai offers accessible tools, courses, and resources for learning and building practical deep learning and machine learning applications in Python.
Explore, explain, and understand machine learning models with tools for responsible and transparent AI development. Open-source and accessible to all.
OwnML helps you quickly build and apply machine learning to your own data, offering structured tools to turn business data into insights.
BigML is an easy-to-use machine learning platform for building models, making predictions, and analyzing data without complex setup or coding.
MVTec offers advanced machine vision software for 3D vision, deep learning, and image analysis, helping businesses automate and optimize visual processes.
mlr3 is an R package for efficient, object-oriented machine learning, offering scalable tools for tasks, learners, and data handling in R.
Explore a suite of R packages for modeling and machine learning built on tidyverse principles, with guides, documentation, and community support.
MOA is an open source Java framework for streaming machine learning, letting you analyze and process data streams in real time. Free to use and extend.
Tribuo is a Java machine learning library for building, training, and deploying models, with support for classification, regression, and third-party ML tools.
MLflow helps you manage and track machine learning and GenAI projects from start to finish, making it simple to develop, deploy, and monitor models.
Test and protect ML models from adversarial attacks
Adversarial Robustness Toolbox offers open-source tools to test, defend, and certify machine learning models against security threats. Python-focused site.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.
Create machine learning models with your own images, sounds, or poses—no coding or experience needed. Build, train, and use AI in minutes.
Deeplearning4j is a suite of deep learning tools for Java, letting you train models on the JVM and connect with Python, TensorFlow, and ONNX runtimes.
Explore fast artificial neural networks for rapid data processing, learning, and AI development. Ideal for those interested in machine learning and neural networks.
Caffe2 is a lightweight, modular deep learning framework for building and deploying AI models. Access docs, tutorials, and APIs for scalable machine learning.
Seldon helps businesses manage, deploy, and monitor machine learning and AI models, offering flexible tools for real-time workflows and observability.
PyCaret is an open-source Python library that makes it easy to build and automate machine learning workflows with minimal coding.
TruEra offers tools for monitoring, testing, and managing the quality of machine learning and AI models, helping businesses improve their AI systems.
Flux is a deep learning library for Julia, offering tools and resources for building, training, and deploying machine learning models with ease.
Apache TVM is an open-source machine learning compiler framework that helps you deploy models efficiently on CPUs, GPUs, and specialized accelerators.
Nixtla offers easy-to-use tools for advanced forecasting and anomaly detection, helping teams of any size make accurate predictions using time series data.
Build, train, and run machine learning models in JavaScript right in your browser or Node.js with TensorFlow.js, an open source ML library for web developers.
Accord.NET is a C# machine learning framework with audio and image processing tools, making it easy to build AI, computer vision, and signal processing apps.
Apache MXNet is an open-source deep learning framework for building, training, and deploying flexible AI models for research and production use.
Join a global challenge using machine learning and computer vision to help decode ancient scrolls for prizes and scientific discovery.
Apache Mahout is a distributed linear algebra and machine learning platform for building custom algorithms, designed for data scientists and developers.
Explore tools and resources for deploying machine learning models across environments, with guides, code examples, and hardware optimization tips.
Worldwide Automl.org Alternatives
Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.
AutoGluon helps you build machine learning models for text, images, time series, and tabular data—no coding expertise required.
Edward is a Python library for building and testing probabilistic models, helping you experiment with Bayesian statistics, deep learning, and more.
Deep Java Library (DJL) is an open-source toolkit for building, training, and deploying machine learning models using Java and popular ML frameworks.
A Chinese-language resource hub offering open machine learning modeling guides, technical docs, and helpful links for AI development and study.
DiffSharp offers a tensor library with differentiable programming support, making it easy to build machine learning and optimization solutions in F#.
Discover Apple’s latest machine learning and AI research, including publications, highlights, and insights from their expert teams.
Explore NumPyro's documentation for building and running probabilistic models in Python with fast, flexible Bayesian inference and detailed examples.
Explore, test, and deploy cutting-edge machine learning models in Chinese with this all-in-one AI development and sharing platform.
Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.
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