h5py
Here are 70 public repositories matching this topic...
Lightweight C++ and Python interface for datasets in zarr and N5 format
-
Updated
Jul 9, 2024 - C++
Geophysical Bayesian Inference in Python. Docs:
-
Updated
Jul 10, 2024 - Python
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.
-
Updated
Nov 3, 2017 - Python
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.
-
Updated
Dec 6, 2022 - Jupyter Notebook
Used Convolutional Deep Neural nets to extract features from the image
-
Updated
May 11, 2018 - Jupyter Notebook
Classifying Three Types of Brain Tumor
-
Updated
May 14, 2019 - Jupyter Notebook
Browser-based GUI HDF Viewer https://broh5.readthedocs.io
-
Updated
Dec 4, 2023 - Python
Abstraction layer on top of h5py for storing time-indexed Pandas data (Series, DataFrame). Focus is fast retrieval of range and index queries but should also support flexible modification of data.
-
Updated
Sep 1, 2017 - Python
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
-
Updated
Oct 17, 2023 - Jupyter Notebook
Jupyer notebook and snippets for the PyData Munich HDF5 tutorial
-
Updated
Dec 18, 2017 - Jupyter Notebook
A Neural Network built on Keras using Sequential Model to predict whether a person has Diabetic Retinopathy or not.
-
Updated
Jan 22, 2019 - Python
Deep Learning for Beginners using Keras | DL tutorials using Keras
-
Updated
Oct 2, 2020 - Jupyter Notebook
An easy to use C++ interface to HDF5 library, implemented in templates
-
Updated
Apr 11, 2017 - C++
Improve this page
Add a description, image, and links to the h5py topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the h5py topic, visit your repo's landing page and select "manage topics."