A library to facilitate machine learning on multi-dimensional images.
-
Updated
Sep 25, 2024 - Python
A library to facilitate machine learning on multi-dimensional images.
A better implementation of a segment tree
GPU-accelerated engine for multi-dimensional cellular automata
Comparison-based Machine Learning in Python
Web-first Visualisation platform for Multidimensional Data
RACE is a multi-dimensional benchmark for code generation that focuses on Readability, mAintainability, Correctness, and Efficiency.
Data warehousing date dimension and time dimension builders written in Python.
tensorflow implementation for 3D BPConvNet
The core framework of Nexus Hyperion, an advanced intergalactic financial and resource management system. This repository contains the foundational algorithms, multi-dimensional neural network architecture, and essential modules for real-time data analytics, risk assessment, and resource optimization.
A fast, flexible, and feature-rich multidimensional cellular automaton simulator written in Python and Lua
Monte-Carlo search for the minimum of the multidimensional "cost" function
Compute blades and multivectors in arbitrary-dimensional space
Efficient multidimensional Diracs estimation with finite rate of innovation sampling
A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.
PyTorch Multi-Dimension Model Training - 🖼️ Training models on random multi-dimensional images with labels. Includes datasets of 8D images and supports image classification using pretrained models like ResNet18, VGG16, DenseNet161, and AlexNet. Adjustable for 3D image training.
An open-source library in Python for analysing Chinese registers
An exploratory multidimensional visualization tool for higher education institution's students' data
Add a description, image, and links to the multidimensional topic page so that developers can more easily learn about it.
To associate your repository with the multidimensional topic, visit your repo's landing page and select "manage topics."