pickling-tools
NumCpp
| pickling-tools | NumCpp | |
|---|---|---|
| 1 | 4 | |
| 4 | 3,383 | |
| - | - | |
| 0.0 | 6.4 | |
| over 5 years ago | 5 months ago | |
| C++ | C++ | |
| - | MIT License |
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pickling-tools
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Read python pickle files in C++
May be you could try to build those PiclingTools from source? https://github.com/Intermodalics/pickling-tools
NumCpp
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Machine Learning using C++ vs Python
Yeah, as someone who writes C++ daily for their ML related job, I concur that the cost of executing a convolutions dwarves the overhead of calling from Python. So as much as I like C++ over Python (because static compilation to find little typos or type mismatches ahead of time is much nicer than exploding 5 minutes later into my batched vision recognition problem 😠), generally for small problems, Python is a nice quick and dirty approach. I do have my eye though on this little C++ numpy clone.
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Can i use numpy with c or c++ ?
Despite being written in C itself, the primary external API is for Python, and though it is possible to call via C, it's quite ungainly (several ref-counted Py_* calls and structs). It's probably easier to just consume a library that targets C++ directly like xtensor (https://xtensor.readthedocs.io/en/latest/numpy.html) or NumCpp (https://github.com/dpilger26/NumCpp).
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trouble with linspace functions
I am trying to feed 2 different 3 column 1 row arrays into a linspace function using the NumCPP package, but i'm getting errors such as:
- Read python pickle files in C++
What are some alternatives?
Protobuf - Protocol Buffers - Google's data interchange format
eigen
RxCpp - Reactive Extensions for C++
examples - Example data structures and algorithms
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
casadi - CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
tuninglib - A C++ Class and Template Library for Performance Critical Applications
Data-Structures-and-Algorithms - Database of well known algorithms organized by category.
tfds - A collection of data structures in C++
Tiger - C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
marching-squares - Marching squares (2D version of marching cubes) in C++