JOLI.jl VS tensor

Compare JOLI.jl vs tensor and see what are their differences.

tensor

package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes (by gorgonia)
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JOLI.jl tensor
1 2
17 340
- 0.9%
3.0 4.2
about 1 year ago 23 days ago
Julia Go
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

JOLI.jl

Posts with mentions or reviews of JOLI.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-12.

tensor

Posts with mentions or reviews of tensor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-13.

What are some alternatives?

When comparing JOLI.jl and tensor you can also consider the following projects:

InvertibleNetworks.jl - A Julia framework for invertible neural networks

ONNXRunTime.jl - Julia bindings for onnxruntime

Tensor - A library and extension that provides objects for scientific computing in PHP.

onnxruntime_go - A Go (golang) library wrapping microsoft/onnxruntime.

nalgebra - Linear algebra library for Rust.

yolov8_onnx_julia - YOLOv8 inference using Julia

InvertibleNetworks

Psalm - A static analysis tool for finding errors in PHP applications

ArnoldiMethod.jl - The Arnoldi Method with Krylov-Schur restart, natively in Julia.

Zephir - Zephir is a compiled high-level language aimed to ease the creation of C-extensions for PHP

yolov8_onnx_python - YOLOv8 inference using Python

yolov8_onnx_nodejs - YOLOv8 inference using Node.js