tiny_gp VS DIgging

Compare tiny_gp vs DIgging and see what are their differences.

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tiny_gp DIgging
1 1
91 81
- -
1.1 10.0
about 1 year ago over 1 year ago
Python Python
GNU General Public License v3.0 only 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.

tiny_gp

Posts with mentions or reviews of tiny_gp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-24.
  • TinyGP in Golang
    2 projects | /r/golang | 24 Feb 2022
    Im quite new to golang and as an exercise i rewrote some python code to a golang. The project is a simple implementation of genetic programming. I wanted it to be as close as possible to be a 1:1 copy but with practices used in golang. I did not run profiler and did not any optimization, im currently more concerned about styling/structuring/good practices with projects in go.

DIgging

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

What are some alternatives?

When comparing tiny_gp and DIgging you can also consider the following projects:

GP-CNAS - Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming

BayesianOptimization - A Python implementation of global optimization with gaussian processes.

evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

auto-sklearn - Automated Machine Learning with scikit-learn

geneal - A genetic algorithm implementation in python

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

tinygp - Tiny Genetic Programming in Golang

modAL - A modular active learning framework for Python

pyshgp - Push Genetic Programming in Python.

Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

darwinio - Evolution Simulator

vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.