Pythonic interface to netCDF4 via h5py
h5py 开源项目推荐(93 个)
h5py 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 93 个仓库用于 zarr 和 N5 格式数据集的轻量级 C++ 和 Python 接口
Geophysical Bayesian Inference in Python. Docs:
将CAD几何体(STP文件)或Cadquery装配转换为DAGMC h5m文件
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
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.
h5grove is a Python package that provides utilities to design backends serving HDF5 file content: attributes, metadata and data.
A High-Performance Cyclone Tracker in Python
Dashboard for Raspberry Pi with display to show in- and outdoor climate, weather forecast, rain radar map and other home automation data via MQTT.
Used Convolutional Deep Neural nets to extract features from the image
Browser-based GUI HDF Viewer https://broh5.readthedocs.io
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。
ZnH5MD - High Performance Interface for H5MD Trajectories
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.
Jupyer notebook and snippets for the PyData Munich HDF5 tutorial
Blazing fast HDF5 Image Generator for Keras ⚡
Reading HDF5 files with Zarr
An easy to use C++ interface to HDF5 library, implemented in templates
Making H5py easier (command line and pyqt5 tools)
Classifying Three Types of Brain Tumor
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/h5py。
- 该话题在 GitHub 上共有 93 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 792 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。