ivy VS tensorboardX

Compare ivy vs tensorboardX and see what are their differences.

ivy

The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy] (by ivy-dl)
Python Machine Learning Deep Learning neural-network GPU Autograd Ivy Abstraction Template Tensorflow Pytorch Mxnet Numpy Jax

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tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...) (by lanpa)
Pytorch Tensorboard Machine Learning Visualization Numpy
Source Code
tensorboardx.readthedocs.io
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ivy tensorboardX
1 1
10,475 7,801
- -
10.0 7.0
about 1 year ago 6 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

ivy

Posts with mentions or reviews of ivy. We have used some of these posts to build our list of alternatives and similar projects.
  • Need internship/part time role in AI/ML/Data Science field.
    1 project | /r/jobs | 29 Apr 2023
    As a volunteer developer at Ivy, I also been actively contributing to the project for several months now. I extended the Ivy Functional API by adding some linear algebra functions - matrix_exp (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/matrix_exp.py) and diff (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/diff.py) - to all four popular deep learning frameworks: NumPy, TensorFlow, PyTorch, and JAX. These functions allowed developers to perform matrix exponentiation and differentiation operations more efficiently and easily using any of these frameworks.

tensorboardX

Posts with mentions or reviews of tensorboardX. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ivy and tensorboardX you can also consider the following projects:

machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

oobabooga-macOS - Optimizing performance, building and installing packages required for oobabooga, AI and Data Science on Apple Silicon GPU. The goal is to optimize wherever possible, from the ground up.

foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

tbparse - Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow

pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard

tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

leptonai - A Pythonic framework to simplify AI service building

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning

ivy - The Unified AI Framework

ivy vs machine_learning_refined tensorboardX vs oobabooga-macOS ivy vs foolbox tensorboardX vs tbparse ivy vs pennylane tensorboardX vs tfgraphviz ivy vs tensor-sensor tensorboardX vs aim ivy vs leptonai tensorboardX vs datasets ivy vs PDEBench tensorboardX vs ivy