Saving and loading julia variables while preserving native types

Interfaces for HDF5-based Single Cell File Formats

Modern Pure Go implementation of the HDF5 file format

Porting Keras neural network model to C++

User-Defined Functions for HDF5

A Python library for reading, writing and visualizing the OMEGA Format, targeted towards storing reference and perception data in the automotive context on an object list basis with a focus on an urban use case.

HDF5 Terminal Viewer

A unified downloader+preprocessor for cancer genomics datasets

Library of PH5 clients, apis, and utilities

Browser-based GUI HDF Viewer https://broh5.readthedocs.io

Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.

Displays HDF5 files in VS code

JavaScript port of PasSofa

RawArray file format reference implementation

A Rust implementation of HDF5 File Format

Makes images for a NN based on the hit information of neutrino events in the neutrino telescope KM3NeT-ORCA

📌 Landslide Detection with Satellite Imagery & Machine Learning . The CNN model trained on multi-channel satellite images. Achieved 89.2% F1-score by using NDVI, slope, and elevation features. Optimized model accuracy through hyperparameter tuning and threshold adjustments.

Interactive visualizer ad manual scaffolder of Hi-C contact maps. All-in-one Java-based implementation.

NEXT - Newtonian EXact Trajectories is a simulation tool written in C++.

The program recursively searches through folders for .dat files and images, converting them into datasets within an HDF5 file. It utilizes the NumPy library for data handling and the h5py library for HDF5 file manipulation.