Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2011 · 1.3K citations · 1 references
Open access
ComputingComputer EngineeringComputer ScienceArtificial IntelligenceMachine LearningProgramming LanguagesData ParallelismDeep LearningGraphics Processing UnitsPattern RecognitionCuda ProgrammingHigh PerformanceMachine Learning SoftwareParallel Machine Learning
Torch7 is a versatile numeric computing framework and machine learning library that extends Lua. Torch7 aims to provide a flexible environment for designing and training learning machines. Torch7 achieves flexibility through Lua scripting and high performance via efficient OpenMP/SSE and CUDA implementations, while enabling easy interfacing with third‑party software.
Torch7 is a versatile numeric computing framework and machine learning library that extends Lua. Its goal is to provide a flexible environment to design and train learning machines. Flexibility is obtained via Lua, an extremely lightweight scripting language. High performance is obtained via efficient OpenMP/SSE and CUDA implementations of low-level numeric routines. Torch7 can easily be interfaced to third-party software thanks to Lua’s light interface.
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Sn: A simulator for connectionist models
Léon Bottou, Yann LeCun · 1988 · 12 citations