Alternatives to Torch.ch

Discover websites similar to Torch.ch based on shared categories, topics, and features.

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Learn informatics by doing in a global setting

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Explore hands-on informatics education, research opportunities, and a vibrant academic community at USI's Faculty of Informatics in Switzerland.

psi.ch favicon

Explore cutting-edge Swiss scientific research

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Paul Scherrer Institute is Switzerland’s largest research center for science and engineering, advancing solutions in energy, health, and the environment.

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Explore advances in sustainable water research

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Eawag is a Swiss water research institute focused on sustainable water use, offering research, education, and practical solutions for water resources.

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Custom web and mobile apps built for your ideas

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Renuo builds custom web and mobile apps in Zurich, specializing in Ruby on Rails, React, and open source technologies for businesses and startups.

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Explore NumPy, an open-source Python library offering fast, powerful tools for numerical computing and data analysis with easy-to-use n-dimensional arrays.

icl.utk.edu favicon

Access leading research in scientific computing

48%

Explore research, software, and reports from the Innovative Computing Laboratory, advancing high-performance tools for scientific computing and standards.

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Climate Change AI connects the global community using machine learning to address climate change, offering resources, events, and collaboration opportunities.

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Access powerful scientific computing tools in Python

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SciPy offers open-source scientific computing tools, documentation, and a community for researchers, engineers, and data scientists in Python.

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Build machine learning models in Python easily

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Scikit-learn offers easy-to-use machine learning tools for Python, with clear guides and examples to help you build, test, and deploy models.

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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.

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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.

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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.

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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.

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Build ML models automatically with Keras

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Visualize neural network models instantly

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Netron lets you open and visualize neural network, deep learning, and machine learning models right in your browser for easy exploration.

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Explore XGBoost's official documentation for setup guides, tutorials, and detailed info on this popular machine learning library and its many features.

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Track and manage ML workflows with ease

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MLflow helps you manage and track machine learning and GenAI projects from start to finish, making it simple to develop, deploy, and monitor models.

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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.

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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.

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Build ML models in minutes—no PhD needed

33%

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

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Build machine learning models with no coding

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Lobe on GitHub makes machine learning easy with open-source tools, code, and resources for building and training ML models, all in one place.

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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.

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