Torch is a scientific computing framework for LuaJIT, offering fast machine learning tools with GPU support and an active community for learning and support.
Fast machine learning with GPU support in LuaJIT
Torch is a scientific computing framework focused on machine learning, built to be fast and easy to use with LuaJIT and powerful GPU support. Whether you're a researcher, developer, or enthusiast, you can leverage Torch to experiment with a wide range of machine learning algorithms and computational tasks.
The site offers extensive documentation, tutorials, and a community wiki to help you get started and deepen your understanding. With links to support and a vibrant community, Torch makes advanced machine learning accessible and efficient for anyone interested in scientific computing.
Discover websites similar to Torch.ch based on shared categories, topics, and features.
Explore hands-on informatics education, research opportunities, and a vibrant academic community at USI's Faculty of Informatics in Switzerland.
Paul Scherrer Institute is Switzerland’s largest research center for science and engineering, advancing solutions in energy, health, and the environment.
Eawag is a Swiss water research institute focused on sustainable water use, offering research, education, and practical solutions for water resources.
Renuo builds custom web and mobile apps in Zurich, specializing in Ruby on Rails, React, and open source technologies for businesses and startups.
Isabelle is a generic proof assistant for expressing and proving mathematical formulas, used by researchers, students, and developers worldwide.
Explore NumPy, an open-source Python library offering fast, powerful tools for numerical computing and data analysis with easy-to-use n-dimensional arrays.
Explore research, software, and reports from the Innovative Computing Laboratory, advancing high-performance tools for scientific computing and standards.
Climate Change AI connects the global community using machine learning to address climate change, offering resources, events, and collaboration opportunities.
SciPy offers open-source scientific computing tools, documentation, and a community for researchers, engineers, and data scientists in Python.
Scikit-learn offers easy-to-use machine learning tools for Python, with clear guides and examples to help you build, test, and deploy models.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
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.
Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.
Explore, test, and deploy cutting-edge machine learning models in Chinese with this all-in-one AI development and sharing platform.
AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.
Netron lets you open and visualize neural network, deep learning, and machine learning models right in your browser for easy exploration.
Explore XGBoost's official documentation for setup guides, tutorials, and detailed info on this popular machine learning library and its many features.
MLflow helps you manage and track machine learning and GenAI projects from start to finish, making it simple to develop, deploy, and monitor models.
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.
Experiment with neural networks in your browser and see how machine learning works through interactive tools and real-time visualizations.
Nyckel lets you quickly build and deploy custom machine learning models—no advanced technical background needed. Fast, secure, and easy to use.
Lobe on GitHub makes machine learning easy with open-source tools, code, and resources for building and training ML models, all in one place.
Cerebras offers a fast, user-friendly platform for AI training and deployment, featuring advanced models and tools for innovative teams and developers.
Discover Apple’s latest machine learning and AI research, including publications, highlights, and insights from their expert teams.