-
Updated
Jul 20, 2019 - Python
#
deap
Here are 52 public repositories matching this topic...
CNN architecture exploration using Genetic Algorithm
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
-
Updated
Oct 19, 2020 - Python
A project on improving Neural Networks performance by using Genetic Algorithms.
neural-network
tensorflow
neat
genetic-algorithm
neuroevolution
python3
transfer-learning
memetic-algorithms
deap
nsga2
-
Updated
Apr 20, 2020 - Python
Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]
audio
machine-learning
audio-features
matlab
machinelearning
music-generation
anfis
deap
deap-dataset
visual-features
lindsey-stirling-dataset
emotion-labels
-
Updated
Apr 16, 2020 - MATLAB
Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)
-
Updated
Jan 24, 2021 - Python
rodrigo-arenas
commented
May 31, 2021
Is your feature request related to a problem? Please describe.
Currently the .fit method of GASearchCV accepts a callbacks argument, this is used to stop the training process when a condition is met. All the callbacks implements the same methods: .on_step and __call__ which are used while the optimization routine is running.
Currently, each callback does not have any kind of inheritance
Python Evolutionary Algorithm Visualisation toolkit on DEAP
-
Updated
Dec 27, 2017 - Python
Genetic algorithm to solve modular exams scheduling problem written in Python.
-
Updated
Apr 26, 2017 - Python
python
genetic-programming
evolutionary-algorithms
genetic-algorithms
evolutionary-strategy
pso
deap
xcs
-
Updated
May 10, 2019 - Jupyter Notebook
Trefle is a scikit-learn compatible estimator implementing the FuzzyCoCo algorithm that uses a cooperative coevolution algorithm to find and build interpretable fuzzy systems.
python
data-science
machine-learning
scikit-learn
evolutionary-algorithm
fuzzy-logic
deap
interpretability
-
Updated
Jan 12, 2019 - Python
A stochastic circuit optimizer for Cadence Virtuoso, using the NSGA-II genetic algorithm.
python
genetic-algorithm
circuit
optimization-tools
circuit-simulation
nsga-ii
cadence-virtuoso
deap
ade-xl
-
Updated
Mar 25, 2021 - Python
Motif discovery for DNA sequences using multiobjective optimization and genetic programming.
python
bioinformatics
transcription-factors
motif
dna
genetic-programming
chip-seq
regular-expressions
strongly-typed
transcription-factor-binding
pareto-front
dna-sequences
sequences
nsga-ii
multiobjective-optimization
network-expressions
motif-discovery
deap
jaspar
-
Updated
Jul 24, 2018 - Python
Code for my Master's Thesis at the Institute of Medical Informatics, Universität zu Lübeck.
tensorflow
keras
human-activity-recognition
deap
keras-tensorflow
opportunity
emotion-recognition
multi-task-learning
-
Updated
Mar 24, 2020 - Python
Distributed Evolutionary Algorithms in Golang
-
Updated
Aug 3, 2018 - Go
( 🦉 ) This code lab intended to introduce new Machine Learning Algorithm // DEAP : Distributed Evolutionary Algorithm Framework.
-
Updated
Apr 2, 2018 - Jupyter Notebook
Evolutionary Composition uses genetic algorithms to create and enhance musical melodies.
-
Updated
May 5, 2021 - Python
Seminar project at FER led by Assistant Professor Marko Čupić
python
latex
paper
numpy
genetic-algorithm
python3
lead
approximation
evolutionary-algorithms
matplotlib
sympy
seminar
function-approximation
deap
-
Updated
Jun 12, 2020 - TeX
PyTEAP: A Python implementation of Toolbox for Emotion Analysis using Physiological signals (TEAP).
-
Updated
Dec 8, 2020 - Python
EPTune: Parameter Tuning using Evolutionary Algorithm.
-
Updated
Nov 21, 2020 - Jupyter Notebook
This repository helps creating a docker container with lots of evolutionary algorithms packages in python
-
Updated
Oct 7, 2017 - Shell
Proof of concept about DEAP in Python in order to solve TSP
-
Updated
Nov 22, 2017 - Python
Playing the (in)famous Flappy Bird game using NEAT and Differential Evolution.
-
Updated
Mar 26, 2019 - Python
An Exploration of Genetic Algorithm using DEAP: COVID-19 Vaccine Distribution Optimization
optimization
genetic-algorithm
census-data
cdc
deap
census-bureau
covid-19
infection-rate
covidactnow
icu-headroom
-
Updated
Dec 10, 2020 - Jupyter Notebook
An Approach to Geometric Modelling Using Geneteic Programming
-
Updated
Apr 15, 2021 - Jupyter Notebook
Implementation of the MOEA Entropy based automatic termination algorithm (Saxena et al. 2016)
python
algorithm
entropy
multi-objective-optimization
evolutionary-algorithm
moea
deap
termination-detection-algorithm
-
Updated
Jun 14, 2017 - Python
Improve this page
Add a description, image, and links to the deap topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the deap topic, visit your repo's landing page and select "manage topics."
Hello, when I ran your code got "TypeError: unhashable type: 'slice' ".Can you help me analyze the problem?thanks
`
import pandas as pd
from sklearn.linear_model import LogisticRegression
from feature_selection_ga import FeatureSelectionGA
data = pd.read_excel("D:\Project_CAD\实验6\data\train_data_1\train_1.xlsx")
x, y = data.iloc[:, :53], data.iloc[:, 56]
model = LogisticRegression()