8 best C++ Dataset libraries in 2023
by Open Weaver kits ✔ Updated: Feb 1, 2023
C++ is the language of choice for many programmers who need to create software that works well with a variety of platforms. It is also a very popular language among hackers, who often use C++ to develop exploits, root kits and other forms of malware. Dataset is an important part of the Artificial Intelligence project. It needs to be classified and processed to train the model. It has imperative, object-oriented and generic programming features. C++ also supports generic programming and meta-programming through templates which makes it easy to write large data structures with very small memory footprint. Many developers depend on the following C++ Dataset open source libraries: h5cpp - C17 templates between and HDF5 datasets; Digit-Recognition-MNIST-SVHN-PyTorch-CPP - Implementing CNN for Digit Recognition using PyTorch C API; PixelatedDPC - C program for fast parallelised GPU based analysis of disk movement in pixelated STEM datase
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C++ 323 Version:v1.7.0 License: Others (Non-SPDX)
C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
C++ 118 Version:Current License: Others (Non-SPDX)
Lighweight C++ and Python interface for datasets in zarr and N5 format
C++ 80 Version:2.0.13 License: Permissive (MIT)
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
C++ 18 Version:Current License: Permissive (MIT)
C++ program for fast parallelised GPU based analysis of disk movement in pixelated STEM dataset
C++ 6 Version:Current License: Strong Copyleft (GPL-3.0)
C++ program that, given a vectorised dataset and query set, performs locality sensitive hashing, finding either Nearest Neighbour (NN) or Neighbours in specified range of points in query set, using either Euclidian distance or Cosine Similarity.
C++ 3 Version:Current License: Permissive (MIT)