DIgging VS tiny_gp

Compare DIgging vs tiny_gp and see what are their differences.

DIgging

Decision Intelligence for digging best parameters in target environment. (by opendilab)
Searching bayesian-optimization evolutionary-algorithm reinforcement-learning
Source Code
opendilab.github.io
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tiny_gp

Tiny Genetic Programming in Python (by moshesipper)
genetic-algorithm evolutionary-algorithms evolutionary-computation evolutionary-algorithm Evolution evolutionary genetic-programming Python evolution-simulation tiny-genetic-programming genetic-programming-algorithm
Source Code
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DIgging tiny_gp
1 1
81 91
- -
10.0 1.1
over 1 year ago about 1 year ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.

DIgging

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

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.

What are some alternatives?

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

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

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

auto-sklearn - Automated Machine Learning with scikit-learn

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

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

geneal - A genetic algorithm implementation in python

modAL - A modular active learning framework for Python

tinygp - Tiny Genetic Programming in Golang

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

pyshgp - Push Genetic Programming in Python.

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

darwinio - Evolution Simulator

DIgging vs BayesianOptimization tiny_gp vs GP-CNAS DIgging vs auto-sklearn tiny_gp vs evotorch DIgging vs nni tiny_gp vs geneal DIgging vs modAL tiny_gp vs tinygp DIgging vs Gradient-Free-Optimizers tiny_gp vs pyshgp DIgging vs vizier tiny_gp vs darwinio