8 best C++ Dataset libraries in 2024

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by marketing.admin@openweaver.com dot icon Updated: Feb 1, 2023

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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

cosmoscout-vrby cosmoscout

C++ doticonstar image 323 doticonVersion:v1.7.0doticon
License: Others (Non-SPDX)

:milky_way: A virtual universe which lets you explore, analyze and present huge planetary datasets and large simulation data in real-time.

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            cosmoscout-vrby cosmoscout

            C++ doticon star image 323 doticonVersion:v1.7.0doticon License: Others (Non-SPDX)

            :milky_way: A virtual universe which lets you explore, analyze and present huge planetary datasets and large simulation data in real-time.
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                      h5cppby steven-varga

                      C++ doticonstar image 118 doticonVersion:Currentdoticon
                      License: Others (Non-SPDX)

                      C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets

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                                h5cppby steven-varga

                                C++ doticon star image 118 doticonVersion:Currentdoticon License: Others (Non-SPDX)

                                C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
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                                          z5by constantinpape

                                          C++ doticonstar image 80 doticonVersion:2.0.13doticon
                                          License: Permissive (MIT)

                                          Lighweight C++ and Python interface for datasets in zarr and N5 format

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                                                    z5by constantinpape

                                                    C++ doticon star image 80 doticonVersion:2.0.13doticon License: Permissive (MIT)

                                                    Lighweight C++ and Python interface for datasets in zarr and N5 format
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                                                              mnistby wichtounet

                                                              C++ doticonstar image 66 doticonVersion:Currentdoticon
                                                              License: Permissive (MIT)

                                                              Simple C++ reader for MNIST dataset

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                                                                        mnistby wichtounet

                                                                        C++ doticon star image 66 doticonVersion:Currentdoticon License: Permissive (MIT)

                                                                        Simple C++ reader for MNIST dataset
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                                                                                  C++ doticonstar image 18 doticonVersion:Currentdoticon
                                                                                  License: Permissive (MIT)

                                                                                  Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API

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                                                                                            Digit-Recognition-MNIST-SVHN-PyTorch-CPPby krshrimali

                                                                                            C++ doticon star image 18 doticonVersion:Currentdoticon License: Permissive (MIT)

                                                                                            Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
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                                                                                                      cifar-10by wichtounet

                                                                                                      C++ doticonstar image 15 doticonVersion:Currentdoticon
                                                                                                      License: Permissive (MIT)

                                                                                                      Simple C++ reader for CIFAR-10 dataset

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                                                                                                                cifar-10by wichtounet

                                                                                                                C++ doticon star image 15 doticonVersion:Currentdoticon License: Permissive (MIT)

                                                                                                                Simple C++ reader for CIFAR-10 dataset
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                                                                                                                          PixelatedDPCby matkraj

                                                                                                                          C++ doticonstar image 6 doticonVersion:Currentdoticon
                                                                                                                          License: Strong Copyleft (GPL-3.0)

                                                                                                                          C++ program for fast parallelised GPU based analysis of disk movement in pixelated STEM dataset

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                                                                                                                                    PixelatedDPCby matkraj

                                                                                                                                    C++ doticon star image 6 doticonVersion:Currentdoticon License: Strong Copyleft (GPL-3.0)

                                                                                                                                    C++ program for fast parallelised GPU based analysis of disk movement in pixelated STEM dataset
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                                                                                                                                              C++ doticonstar image 3 doticonVersion:Currentdoticon
                                                                                                                                              License: Permissive (MIT)

                                                                                                                                              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.

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                                                                                                                                                        Nearest-Neighbour-LSHby cchatzis

                                                                                                                                                        C++ doticon star image 3 doticonVersion:Currentdoticon License: Permissive (MIT)

                                                                                                                                                        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.
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