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ollama.com favicon

Run large language models on your computer

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ai.baidu.com favicon

Build and deploy AI apps with Baidu’s powerful tools

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Baidu AI Open Platform offers cutting-edge tools for speech, image, and NLP, making it easy to build and deploy AI-powered applications in Chinese.

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Train and deploy AI models at lightning speed

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Cerebras offers a fast, user-friendly platform for AI training and deployment, featuring advanced models and tools for innovative teams and developers.

spark.apache.org favicon

Process big data and run analytics at scale

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Explore interactive machine learning articles

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opennlp.apache.org favicon

Build NLP tools with open-source machine learning

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Apache OpenNLP is an open-source toolkit for building machine learning-based natural language processing solutions in Java.

dvc.org favicon

Version control for data and ML experiments

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DVC is an open-source tool for version control in data science and machine learning, helping you track data, models, and experiments like with Git.

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fast.ai offers accessible tools, courses, and resources for learning and building practical deep learning and machine learning applications in Python.

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ICML 2025 is the official site for the International Conference on Machine Learning, offering info on talks, workshops, registration, and event resources.

ogb.stanford.edu favicon

Access top graph ML datasets and benchmarks

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Build ML models in minutes—no PhD needed

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Nyckel lets you quickly build and deploy custom machine learning models—no advanced technical background needed. Fast, secure, and easy to use.

gradientscience.org favicon

Fresh machine learning research and insights

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Explore research highlights and expert insights on machine learning and optimization, curated by MadryLab for those interested in the latest advancements.

ml-ops.org favicon

Learn how to streamline ML model deployment

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tslearn.readthedocs.io favicon

Learn time series machine learning in Python

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Explore tslearn's official docs for Python tools that help you analyze and model time series data using machine learning, built on scikit-learn.

fedml.ai favicon

Collaborate on federated AI projects securely

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Build, deploy, and manage federated learning AI models at scale with a collaborative production platform designed for secure, distributed machine learning.

gplearn.readthedocs.io favicon

Genetic programming in Python made easy

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Explore gplearn’s official docs for using genetic programming in Python with a scikit-learn style API, including guides, examples, and API references.

dataiku.com favicon

Build and manage AI projects in one platform

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Dataiku is a platform to build, deploy, and manage AI and analytics projects, helping teams turn data into business insights and smarter decisions.

ray.io favicon

Scale Python and ML apps with ease

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Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.

scrollprize.org favicon

Help decode ancient scrolls for big prizes

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Join a global challenge using machine learning and computer vision to help decode ancient scrolls for prizes and scientific discovery.

mc-stan.org favicon

Build advanced Bayesian models with ease

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Stan is an open-source platform for Bayesian data analysis and statistical modeling, offering tools, documentation, and a supportive user community.

mahout.apache.org favicon

Build custom machine learning algorithms at scale

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Apache Mahout is a distributed linear algebra and machine learning platform for building custom algorithms, designed for data scientists and developers.

mlc.ai favicon

Deploy AI models efficiently across platforms

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Explore tools and resources for deploying machine learning models across environments, with guides, code examples, and hardware optimization tips.

vanderschaar-lab.com favicon

Discover AI breakthroughs in healthcare research

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Explore cutting-edge research in machine learning and AI for medicine from the van der Schaar Lab at the University of Cambridge.

optuna.org favicon

Automate hyperparameter tuning for ML models

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djl.ai favicon

Build and run machine learning models in Java

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Deep Java Library (DJL) is an open-source toolkit for building, training, and deploying machine learning models using Java and popular ML frameworks.

ilastik.org favicon

Segment images with interactive machine learning

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ilastik lets you segment, classify, and analyze images using interactive machine learning—no coding or ML expertise needed, ideal for scientific data.

diffsharp.github.io favicon

Build machine learning models with F# tensors

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DiffSharp offers a tensor library with differentiable programming support, making it easy to build machine learning and optimization solutions in F#.

machinelearning.apple.com favicon

Explore Apple’s cutting-edge AI research

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Discover Apple’s latest machine learning and AI research, including publications, highlights, and insights from their expert teams.

keras.io favicon

Build deep learning models with ease

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Keras offers user-friendly tools and guides for building deep learning models, making machine learning accessible and efficient for developers of all levels.

laion.ai favicon

Access open AI datasets and tools for free

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LAION is a nonprofit sharing open machine learning datasets, tools, and models to support research, education, and accessible AI development for everyone.

Worldwide Quickdraw.withgoogle.com Alternatives

caffe.berkeleyvision.org favicon

Build and train deep learning models easily

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Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.

huggingface.co favicon

Collaborate on open-source AI models and datasets

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Join a collaborative AI community to explore, share, and build machine learning models, datasets, and applications. Open-source tools for all levels.

playground.tensorflow.org favicon

Play with neural networks right in your browser

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Experiment with neural networks in your browser and see how machine learning works through interactive tools and real-time visualizations.

leenissen.dk favicon

Build and experiment with fast neural networks

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Explore fast artificial neural networks for rapid data processing, learning, and AI development. Ideal for those interested in machine learning and neural networks.

probml.github.io favicon

Learn probabilistic machine learning with curated resources

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Explore an open-source resource hub for probabilistic machine learning, featuring books, tutorials, and code to help you learn and apply ML concepts.

scikit-optimize.github.io favicon

Optimize machine learning models easily in Python

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Explore scikit-optimize, a Python library for efficient hyperparameter optimization using sequential model-based methods. Includes guides and docs.

edwardlib.org favicon

Experiment with probabilistic models in Python

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Edward is a Python library for building and testing probabilistic models, helping you experiment with Bayesian statistics, deep learning, and more.

zpascal.net favicon

Access open machine learning modeling guides

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A Chinese-language resource hub offering open machine learning modeling guides, technical docs, and helpful links for AI development and study.

transferlab.ai favicon

Get practical AI tools and training for real-world use

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TransferLab shares practical machine learning tools, research, and training to help businesses and practitioners apply AI in real-world settings.

kubeflow.org favicon

Automate ML workflows on any Kubernetes cluster

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Kubeflow helps you build, deploy, and manage machine learning workflows easily on Kubernetes, making AI projects simple and scalable.

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