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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.
Train large AI models faster and easier
DeepSpeed is a platform designed to help you train and deploy large-scale AI models with greater speed and efficiency. Whether you’re working on advanced deep learning projects or building ChatGPT-like systems, DeepSpeed simplifies distributed training and optimization so you can focus on your models, not the infrastructure.
With a suite of innovative tools, tutorials, and documentation, DeepSpeed supports researchers and developers at all levels. You can access features like one-click training, cost-saving optimizations, and support for scaling up to massive models. If you’re looking to push the boundaries of AI while keeping workflows simple and efficient, DeepSpeed offers the resources and community to help you succeed.
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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.
Tribuo is a Java machine learning library for building, training, and deploying models, with support for classification, regression, and third-party ML tools.
Join a global data science and machine learning community, access datasets, enter competitions, and use collaborative tools to grow your skills.
Open source platform to build and run machine learning models with JavaScript in browsers and Node.js.
Surprise is a Python library for creating and testing recommender systems, making it easy to analyze explicit rating data using various algorithms.
Nyckel lets you quickly build and deploy custom machine learning models—no advanced technical background needed. Fast, secure, and easy to use.
Optuna is an open-source tool that helps you automatically tune machine learning models for better performance, making optimization easy and efficient.
Build, deploy, and manage federated learning AI models at scale with a collaborative production platform designed for secure, distributed machine learning.
Keras offers user-friendly tools and guides for building deep learning models, making machine learning accessible and efficient for developers of all levels.
Kubeflow helps you build, deploy, and manage machine learning workflows easily on Kubernetes, making AI projects simple and scalable.
Iguazio is an AI development platform that helps you build, deploy, and manage machine learning and generative AI applications at scale.
ONNX is an open standard platform that enables machine learning models to work across different tools, making AI development more flexible and accessible.
Amethix offers machine learning and AI solutions to help organizations integrate data, improve decision-making, and enhance business operations.
Flax offers flexible tools for building neural networks with JAX, providing guides, tutorials, and documentation for AI researchers and developers.
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。
Explore Neural Network Libraries, a deep learning framework for research and production, with resources for Python and C++ developers.
Flower is an open-source platform for building, running, and evaluating federated machine learning apps across any ML framework or programming language.
Cerebras offers a fast, user-friendly platform for AI training and deployment, featuring advanced models and tools for innovative teams and developers.
Clarifai lets you build, manage, and deploy AI and machine learning models across any computing environment, making AI workflows easier and more efficient.
Build and deploy machine learning models for edge devices with a user-friendly platform offering tools for AI, computer vision, and sensor data.
JFrog ML offers a platform to build, deploy, and manage AI and machine learning applications at scale efficiently.
Google AI Studio lets you quickly experiment and build with Gemini, Google’s multimodal generative AI models, all in one easy-to-use platform.
LangChain offers tools and platforms to help developers build, test, and deploy AI agents, making it easier to create reliable AI-powered applications.
Tecton helps teams build, manage, and serve machine learning data features, making it easier to get AI models into production quickly and reliably.
Explore Qwen, a platform for advanced large language models and AI tools, offering chat demos and resources for developers and AI enthusiasts.
Forefront lets you fine-tune and deploy open-source AI language models using your data, offering easy customization, evaluation, and API integration.
UBIAI lets you quickly build, fine-tune, and deploy custom large language models with your own data, streamlining AI development for specialized needs.
Fireworks AI lets you use, fine-tune, and deploy cutting-edge language and image models quickly and easily, with no extra cost for custom models.
Visage Technologies offers custom AI and machine learning solutions, including SDKs for face tracking, analysis, and recognition, with expert support.
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.
Worldwide Deepspeed.ai Alternatives
Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.
Explore, test, and deploy cutting-edge machine learning models in Chinese with this all-in-one AI development and sharing platform.
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.
Explosion offers developer tools and consulting for AI and NLP, including spaCy, helping you build, manage, and deploy machine learning solutions.
Join a collaborative AI community to explore, share, and build machine learning models, datasets, and applications. Open-source tools for all levels.
Dataiku is a platform to build, deploy, and manage AI and analytics projects, helping teams turn data into business insights and smarter decisions.
Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
Explore fast artificial neural networks for rapid data processing, learning, and AI development. Ideal for those interested in machine learning and neural networks.
Access OpenAI's developer platform for API docs, tutorials, and dynamic examples to help you build AI-powered apps and integrate advanced AI models.
Scale AI provides high-quality training data and tools to help companies build, evaluate, and scale AI applications across industries like automotive and government.
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