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tensorflow.org favicon

Build and run ML models directly in your browser

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Open source platform to build and run machine learning models with JavaScript in browsers and Node.js.

metaflow.org favicon

Easily build and manage ML and data science projects

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Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.

mlr3.mlr-org.com favicon

Streamline machine learning workflows in R

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mlr3 is an R package for efficient, object-oriented machine learning, offering scalable tools for tasks, learners, and data handling in R.

tvm.apache.org favicon

Deploy ML models on any hardware easily

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Apache TVM is an open-source machine learning compiler framework that helps you deploy models efficiently on CPUs, GPUs, and specialized accelerators.

gymnasium.farama.org favicon

Build and test reinforcement learning environments

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Explore Gymnasium's Python API and reference environments for building, testing, and benchmarking reinforcement learning algorithms in one place.

python.langchain.com favicon

Build AI apps with powerful language models

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LangChain helps you build applications using large language models, offering tools, guides, and integrations for streamlined AI development.

pyg.org favicon

Build and train graph neural networks easily

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PyG is a Python library for building and training graph neural networks, offering tools, tutorials, and a community for developers and researchers.

tecton.ai favicon

Turn data into AI features—fast and easy

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Tecton helps teams build, manage, and serve machine learning data features, making it easier to get AI models into production quickly and reliably.

qwenlm.github.io favicon

Try powerful open-source language models

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Explore Qwen, a platform for advanced large language models and AI tools, offering chat demos and resources for developers and AI enthusiasts.

nyckel.com favicon

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.

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.

fedml.ai favicon

Collaborate on federated AI projects securely

57%

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

optuna.org favicon

Automate hyperparameter tuning for ML models

56%

Optuna is an open-source tool that helps you automatically tune machine learning models for better performance, making optimization easy and efficient.

keras.io favicon

Build deep learning models with ease

55%

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

kubeflow.org favicon

Automate ML workflows on any Kubernetes cluster

55%

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

iguazio.com favicon

Operationalize and scale your AI projects

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Iguazio is an AI development platform that helps you build, deploy, and manage machine learning and generative AI applications at scale.

onnx.ai favicon

Run AI models across different tools and platforms

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ONNX is an open standard platform that enables machine learning models to work across different tools, making AI development more flexible and accessible.

deepspeed.ai favicon

Train large AI models faster and easier

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DeepSpeed is a library that helps you train and run large AI models faster and more efficiently, making advanced deep learning easier for everyone.

amethix.com favicon

Power decisions with advanced AI and analytics

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Amethix offers machine learning and AI solutions to help organizations integrate data, improve decision-making, and enhance business operations.

flax.readthedocs.io favicon

Build neural networks with JAX using flexible tools

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Flax offers flexible tools for building neural networks with JAX, providing guides, tutorials, and documentation for AI researchers and developers.

paddlepaddle.org.cn favicon

一站式中文深度学习平台

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飞桨PaddlePaddle是一个中文开源深度学习平台,支持动态图和静态图,助力开发者轻松创新和部署AI应用。

nnabla.readthedocs.io favicon

Build and deploy deep learning models anywhere

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Explore Neural Network Libraries, a deep learning framework for research and production, with resources for Python and C++ developers.

flower.ai favicon

Build federated AI apps for any framework

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Flower is an open-source platform for building, running, and evaluating federated machine learning apps across any ML framework or programming language.

cerebras.ai favicon

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.

clarifai.com favicon

Build and manage AI models across any infrastructure

54%

Clarifai lets you build, manage, and deploy AI and machine learning models across any computing environment, making AI workflows easier and more efficient.

neuralmagic.com favicon

Run open-source AI models on your own servers

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Deploy and run high-performance open-source AI models on your own CPU or GPU servers with Neural Magic's flexible inference solutions.

edgeimpulse.com favicon

Create edge AI models for real-world devices

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Build and deploy machine learning models for edge devices with a user-friendly platform offering tools for AI, computer vision, and sensor data.

qwak.com favicon

Build and manage AI apps from idea to scale

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JFrog ML offers a platform to build, deploy, and manage AI and machine learning applications at scale efficiently.

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.

fast.ai favicon

Learn and build with practical AI tools

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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.

Worldwide Ray.io Alternatives

chainer.org favicon

Build neural networks with flexible Python tools

60%

Chainer offers a flexible, intuitive platform for building and training neural networks, making it easy to develop and experiment with deep learning models.

caffe.berkeleyvision.org favicon

Build and train deep learning models easily

59%

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

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.

huggingface.co favicon

Collaborate on open-source AI models and datasets

57%

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

ollama.com favicon

Run large language models on your computer

54%

Ollama lets you run and experiment with large language models on your own device, making it easy to download, try, and integrate AI models locally.

modelscope.cn favicon

Try and deploy top machine learning models instantly

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Explore, test, and deploy cutting-edge machine learning models in Chinese with this all-in-one AI development and sharing platform.

comet.com favicon

Track, evaluate, and monitor AI models easily

51%

Comet is an end-to-end platform for AI developers to track experiments, evaluate models, and monitor production, helping you build better machine learning systems.

onnxruntime.ai favicon

Accelerate AI training and inference anywhere

49%

ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.

jena.apache.org favicon

Build Semantic Web apps with Java easily

48%

Apache Jena is a free, open source Java framework for building Semantic Web and Linked Data applications, supporting RDF, SPARQL, and more.

autokeras.com favicon

Build ML models automatically with Keras

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AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.

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