machine_learning_refined VS ivy

Compare machine_learning_refined vs ivy and see what are their differences.

machine_learning_refined

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

ivy

The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy] (by ivy-dl)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
machine_learning_refined ivy
3 1
1,584 10,475
- -
6.6 10.0
10 months ago 12 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

machine_learning_refined

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

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.

What are some alternatives?

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

ivy - The Unified AI Framework

tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

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

python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.

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.

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.

gurobi-machinelearning - Formulate trained predictors in Gurobi models

leptonai - A Pythonic framework to simplify AI service building

Diabetes-Prediction-Using-SVM - In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.

PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning