Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of symbolic programming and
... [More] imperative programming together to maximize the efficiency and your productivity. In its core, a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer is build on top, which makes symbolic execution fast and memory efficient. The library is portable and lightweight, and is ready scales to multiple GPUs, and multiple machines. [Less]
Heat transfer component of Chemical Engineering Design Library (ChEDL)
ht is open-source software for engineers and technicians working in the fields of chemical or mechanical engineering. It includes modules for various heat transfer functions.
LazyCure is a convenient tool for time logging and personal productivity calculation. LazyCure helps to perform time logging, calculate statistics and different reports, store time logs in order to provide valuable information for activities planning
FFC works as a compiler for multilinear forms by generating code (C or C++) for the evaluation of a multilinear form given in mathematical notation. This new approach to form evaluation makes it possible to combine generality with efficiency; the form can be given in mathematical notation and the
... [More] generated code is as efficient as hand-optimized code.
FFC is a component of the FEniCS project, see http://www.fenicsproject.org. [Less]
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