cxbxmxcx / EvolutionaryDeepLearning
Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham
☆48Updated 2 years ago
Alternatives and similar repositories for EvolutionaryDeepLearning:
Users that are interested in EvolutionaryDeepLearning are comparing it to the libraries listed below
- Code and Content for Manning Publication on Graph Neural Networks☆60Updated last week
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆185Updated 2 years ago
- A template for creating streamlit web applications for numerical optimization problems☆15Updated last year
- Modern Graph Theory Algorithms with Python, published by Packt☆24Updated 8 months ago
- Distributed Machine Learning with Python, published by Packt☆39Updated last year
- Mastering Reinforcement Learning with Python, published by Packt☆153Updated 2 years ago
- ☆78Updated last year
- Source Code for 'Modern Deep Learning for Tabular Data' by Andre Ye and Ziang Wang☆30Updated 2 years ago
- Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.☆91Updated this week
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆36Updated 4 months ago
- Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)☆59Updated 3 years ago
- A curated list of resources for genetic programming.☆53Updated 2 months ago
- Source code for Bayesian Optimization in Action, published by Manning☆85Updated last year
- Lecture slides for the MARL book (www.marl-book.com)☆75Updated 2 months ago
- Deep Reinforcement Learning Hands-On, 3E_Published by Packt☆136Updated 3 months ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆79Updated last year
- Neural Tangent Kernel (NTK) module for the scikit-learn library☆24Updated 4 months ago
- Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …☆30Updated 4 months ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆40Updated last month
- Introduction to Gaussian Processes☆27Updated 6 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆126Updated last year
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆55Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆26Updated 7 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆51Updated 6 months ago
- Estimation of Distribution algorithms Python package☆41Updated 7 months ago
- B21145 - Deep Learning for Time Series Data Cookbook☆52Updated 8 months ago
- Code repository of ml-without-tears blog: https://mlwithouttears.com/☆33Updated 9 months ago
- A collection of various gradient descent algorithms implemented in Python from scratch☆35Updated last year
- AI framework for Reinforcement Learning, Automated Planning and Scheduling☆146Updated last week