Search Results for "descent"
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Showing 2 open source projects for "descent"
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Mocha.jl
Deep Learning framework for Julia
Mocha.jl is a deep learning framework for Julia, inspired by the C++ Caffe framework. It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels directly in Julia and general auto-differentiation supports, the Mocha codebase becomes excessively old and primitive. ... -
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JetPAG is a recursive-descent parser and lexical analyzer generator focused on high efficiency, usability and readability of generated code. JetPAG generates fast recognizers and aids developers with useful tools for simplifying input interpretation.
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