Alternatives to Teachablemachine.withgoogle.com

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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.

bigml.com favicon

Build machine learning models with ease

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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.

machinelearning.apple.com favicon

Explore Apple’s cutting-edge AI research

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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.

research.baidu.com favicon

Explore global AI research and innovations

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Baidu Research shares AI breakthroughs, research areas, and publications, connecting global experts in machine learning, deep learning, and data science.

clarifai.com favicon

Build and manage AI models across any infrastructure

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

comet.com favicon

Track, evaluate, and monitor your AI models

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Comet is a platform for AI developers to track experiments, evaluate LLMs, and monitor models in production, helping you build better machine learning models.

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.

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.

paperswithcode.com favicon

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simplified.com favicon

Create and manage content with AI in one place

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Simplified lets you create content, manage social media, and automate tasks with AI tools for design, writing, and video—all in one easy platform.

openai.com favicon

Explore and build with advanced AI tools

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OpenAI offers advanced AI tools like ChatGPT and APIs for developers, businesses, and individuals to create, explore, and interact with artificial intelligence.

streamhpc.com favicon

Boost software speed with expert GPU programming

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StreamHPC builds high-performance software solutions using GPU programming and OpenCL, helping companies achieve faster, more efficient computing.

turing.com favicon

Transform AI research into enterprise solutions

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Turing helps businesses turn advanced AI research into real-world solutions, offering enterprise AI tools, model evaluation, and custom engineering services.

ommer-lab.com favicon

Explore cutting-edge computer vision research

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Research group at LMU Munich focused on computer vision and machine learning, exploring image and video understanding, generative models, and AI applications.

arrayfire.com favicon

Accelerate code with easy GPU computing tools

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ArrayFire is a fast tensor library for GPU computing, offering hundreds of accelerated functions and tools for AI, data science, and engineering projects.

pair.withgoogle.com favicon

Discover tools and guides for human-centered AI

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Explore how people interact with AI through research, tools, and guides from Google's People + AI Research team. Learn, experiment, and design better AI.

modelcards.withgoogle.com favicon

Discover how Google AI models are built and evaluated

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Explore structured overviews of Google's AI models, including design, evaluation, and responsible use details, to support informed and ethical AI use.

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.

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onnxruntime.ai favicon

Accelerate AI training and inference anywhere

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

tensorflow.org favicon

Bring machine learning to your JavaScript apps

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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.

mxnet.apache.org favicon

Build and deploy deep learning models with ease

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Apache MXNet is an open-source deep learning framework for building, training, and deploying flexible AI models for research and production use.

caffe2.ai favicon

Build and deploy deep learning models easily

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Caffe2 is a lightweight, modular deep learning framework for building and deploying AI models. Access docs, tutorials, and APIs for scalable machine learning.

seldon.io favicon

Deploy and monitor ML models in real time

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Seldon helps businesses manage, deploy, and monitor machine learning and AI models, offering flexible tools for real-time workflows and observability.

accord-framework.net favicon

Build machine learning apps in C# with ease

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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.

mlflow.org favicon

Track and manage ML workflows with ease

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leenissen.dk favicon

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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.

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.

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.

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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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.

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.

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.

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.

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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.

optuna.org favicon

Automate hyperparameter tuning for ML models

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

pycaret.org favicon

Automate machine learning with low-code tools

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PyCaret is an open-source Python library that makes it easy to build and automate machine learning workflows with minimal coding.

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.

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dlib.net favicon

Build AI software with C++ machine learning tools

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Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.

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.

pennylane.ai favicon

Build and test quantum algorithms in Python

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PennyLane is an open-source Python framework for quantum computing and machine learning, letting you build and test quantum algorithms easily.

jax.dev favicon

Accelerate Python machine learning with JAX

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JAX offers Python tools for high-performance array computing, making it easy to build, transform, and optimize machine learning and numerical programs.

wandb.ai favicon

Track and manage your AI experiments easily

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Weights & Biases helps AI developers track experiments, manage models, and streamline machine learning workflows from training to production.

num.pyro.ai favicon

Build and test Bayesian models in Python easily

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Explore NumPyro's documentation for building and running probabilistic models in Python with fast, flexible Bayesian inference and detailed examples.

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Try experimental AI projects from Google

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Explore and try out experimental AI projects and tools from Google Labs, giving you early access to the latest artificial intelligence innovations.

luis.ai favicon

Create custom NLP models with your own data

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Build and test custom machine learning models for text processing, including classification and entity extraction, with easy-to-use visual tools.

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.

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.

ray.io favicon

Scale AI workloads across any infrastructure

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Ray by Anyscale is an open-source platform that helps you manage and scale AI and machine learning workloads across distributed computing resources.

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.

quantumai.google favicon

Advance your quantum computing experiments

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Explore Google Quantum AI’s latest research, tools, and resources to learn, experiment, and develop in the field of quantum computing and quantum hardware.

dataloop.ai favicon

Automate and manage AI data workflows easily

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Dataloop helps you manage, label, and automate unstructured data, making it easy to build and deploy AI solutions from start to finish.

ai.google favicon

Explore AI tools and learn with Google

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Explore Google's AI tools, research, and resources to learn, build, and discover how artificial intelligence can help everyone in everyday life.

toloka.ai favicon

Access expert data for advanced AI training

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Toloka provides expertly crafted data for training and evaluating AI models, offering access to skilled experts across domains and languages for scalable solutions.

conceptnet.io favicon

Explore word meanings with open semantic data

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ConceptNet is a free semantic network that helps computers understand word meanings, offering an open resource for language, AI, and research projects.

opencv.org favicon

Access powerful computer vision tools and courses

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OpenCV offers open-source computer vision tools, libraries, and learning resources for building AI and machine learning applications.

rapids.ai favicon

Accelerate data science with GPUs and Python APIs

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RAPIDS offers open source GPU-accelerated data science libraries, helping you analyze and process data faster with familiar Python APIs.

cohere.com favicon

Explore expert insights on generative AI

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Read in-depth articles and expert insights about generative AI, language models, and practical applications on the Cohere Blog.