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!

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。

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

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.