tiny_gp
Tiny Genetic Programming in Python (by moshesipper)
GP-CNAS
Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming (by ttiagojm)
tiny_gp | GP-CNAS | |
---|---|---|
1 | 1 | |
91 | 5 | |
- | - | |
1.1 | 10.0 | |
about 1 year ago | over 1 year ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
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.
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TinyGP in Golang
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.
GP-CNAS
Posts with mentions or reviews of GP-CNAS.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-05.
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Why does using ModuleList to pass layers list give better results?
I'm porting this paper implementation, written with Tensorflow, to a new version in PyTorch.
What are some alternatives?
When comparing tiny_gp and GP-CNAS you can also consider the following projects:
DIgging - Decision Intelligence for digging best parameters in target environment.
FEDOT - Automated modeling and machine learning framework FEDOT
evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
geneal - A genetic algorithm implementation in python
pyshgp - Push Genetic Programming in Python.
tinygp - Tiny Genetic Programming in Golang
gpFlappyBird - Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Competitive-Python - Python Algorithms Package used in competitive programming
darwinio - Evolution Simulator
GP-CNAS-PyTorch - GP-CNAS but with PyTorch now