Pythonic interface to netCDF4 via h5py

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

Geophysical Bayesian Inference in Python. Docs:

Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.

Used Convolutional Deep Neural nets to extract features from the image

Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!

h5grove is a Python package that provides utilities to design backends serving HDF5 file content: attributes, metadata and data.

Docker image with python-3.8.10 and gdal-3.3.0 for data science。用于构建数据科学和机器学习应用的 python 镜像，内置了常规开发包，易于自定义扩展。

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.

Blazing fast HDF5 Image Generator for Keras ⚡

Jupyer notebook and snippets for the PyData Munich HDF5 tutorial

An easy to use C++ interface to HDF5 library, implemented in templates

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

Reading HDF5 files with Zarr

Making H5py easier (command line and pyqt5 tools)

Classifying Three Types of Brain Tumor

Video Extractor to h5 File Format

ZnH5MD - High Performance Interface for H5MD Trajectories

Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.