Alternatives and similar repositories for GA_in_python

Users that are interested in GA_in_python are comparing it to the libraries listed below

• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 4 years ago
• shivaverma / Sudoku-Solver
  Solving Sudoku with Convolution Neural Networks.
  ☆37Updated 4 years ago
• marcopeix / Deep_Learning_AI
  ☆132Updated 6 years ago
• arditobryan / Projects
  Collection of Open Source projects in 2020
  ☆64Updated last year
• SebastianMantey / Random-Forest-from-Scratch
  ☆47Updated 4 years ago
• marcotav / deep-learning
  Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a paint…
  ☆51Updated 6 years ago
• pawel-kieliszczyk / snake-reinforcement-learning
  AI (A2C agent) mastering the game of Snake with TensorFlow 2.0
  ☆41Updated 5 years ago
• ahmedfgad / IntroDLPython
  This repository is updated by a number of introductory projects to deep learning with Python.
  ☆39Updated 2 years ago
• bauyrjanj / Anomaly_Detection
  ☆26Updated 4 years ago
• Madhu009 / dataDL.ai
  This publication on medium solves DL datasets with neural nets (Complete analysis of data sets)
  ☆10Updated 2 years ago
• rajeevratan84 / DeepLearningCV
  Course code for my Deep Learning Computer Vision Course
  ☆24Updated 5 years ago
• ahmedfgad / GARI
  GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
  ☆60Updated 2 years ago
• ahmedfgad / KerasGA
  Training Keras Models by the Genetic Algorithm using PyGAD
  ☆36Updated last year
• PacktPublishing / Keras-Reinforcement-Learning-Projects
  Keras Reinforcement Learning Projects published by Packt
  ☆51Updated 2 years ago
• PacktPublishing / Hands-On-Genetic-Algorithms-with-Python
  Hands-On Genetic Algorithms with Python, Published by Packt
  ☆274Updated 2 years ago
• michaelhoarau / smarter-anomaly-detection
  A series of notebook showing how one can post-process anomaly detection models to derive more insights
  ☆12Updated 3 years ago
• lmoroney / synthetic_datasets
  Repository for Synthetic datasets I'm creating
  ☆37Updated 4 years ago
• SuperSaiki / Coursera-Machine-Learning-and-Reinforcement-Learning-in-Finance
  Note about cousera online course: ml and rl in finance
  ☆26Updated 6 years ago
• llSourcell / The-Neural-Qubit
  This is the code "The Neural Qubit", the quantum machine learning research paper & video by Siraj Raval
  ☆2Updated 6 months ago
• Garima13a / Kalman-Filters
  Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…
  ☆92Updated 3 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆89Updated 8 months ago
• llSourcell / spike_sorting
  Python implementation of signal processing techniques and K-means clustering to sort spikes.
  ☆23Updated 6 years ago
• knathanieltucker / a-bit-of-deep-learning-and-keras
  Follow along repo for the eponymously named youtube playlist
  ☆61Updated 8 years ago
• tirthajyoti / Scikit-image-processing
  Image processing examples with Numpy, Scipy, and Scikit-image
  ☆36Updated 5 years ago
• abhishekkrthakur / melanoma-deep-learning
  ☆37Updated 10 months ago
• notebookexplore / NotebookExplore
  A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, …
  ☆23Updated 5 years ago
• theomitsa / python
  ☆7Updated 6 years ago
• akhilvasvani / Linear-Algebra-Basics
  Linear Algebra Fundamentals for Machine Learning
  ☆44Updated 5 years ago
• philipphundertmark / simple-linear-regression-notebook
  Simple demo of linear regression built with numpy in a jupyter notebook.
  ☆49Updated last year
• pamruta / AutoML
  Custom Trained ML Models in AutoML
  ☆14Updated 5 years ago