cpp
NumCpp
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cpp
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Algorithms C++
} For C(n=5, k=2), the code above produces the following output: Top-down DP: -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 -1 -1 -1 -1 -1 -1 -1 3 3 -1 -1 -1 -1 -1 -1 4 6 -1 -1 -1 -1 -1 -1 -1 10 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 C(n=5, k=2): 10 Bottom-up DP: 1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 1 2 1 -1 -1 -1 -1 -1 1 3 3 -1 -1 -1 -1 -1 1 4 6 -1 -1 -1 -1 -1 1 5 10 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 C(n=5, k=2): 10 The time complexity is O(n * k) and the space complexity is O(n * k). In the case of top-down DP, solutions to sub-problems are stored (memoized) as needed, whereas in the bottom-up DP, the entire table is computed starting from the base case. Note: a small DP table size (V=8) was chosen for printing purposes, a much larger table size is recommended. Code All code is available at: https://github.com/vsmolyakov/cpp To compile C++ code you can run the following command:
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?
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.
eigen
control-flag - A system to flag anomalous source code expressions by learning typical expressions from training data
RxCpp - Reactive Extensions for C++
algorithms - Algorithms & Data Structures & Computer Science studies
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C-Plus-Plus - Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
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.