gkhayes / mlroseLinks
Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.
☆246Updated 2 years ago
Alternatives and similar repositories for mlrose
Users that are interested in mlrose are comparing it to the libraries listed below
Sorting:
- Python code for bayesian optimization using Gaussian processes☆314Updated 9 years ago
- Jupyter/IPython notebooks about evolutionary computation.☆257Updated 8 years ago
- Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.☆95Updated 10 months ago
- A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.☆197Updated 6 years ago
- Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)☆255Updated 4 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆149Updated 4 years ago
- Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)☆237Updated 4 years ago
- Genetic algorithm packages for optimization in Python.☆80Updated 7 years ago
- Training time estimation for scikit-learn algorithms☆124Updated 4 years ago
- Deep & Classical Reinforcement Learning + Machine Learning Examples in Python☆369Updated 2 years ago
- Assignments and Graders for Discrete Optimization on Coursera☆101Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆280Updated 7 years ago
- ☆312Updated 4 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Better, faster hyper-parameter optimization☆113Updated 2 years ago
- CS 7641 - All the code☆156Updated 2 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- Notes for machine learning☆219Updated 3 years ago
- collecting related resources of automated machine learning here☆54Updated 3 years ago
- RoBO: a Robust Bayesian Optimization framework☆488Updated 6 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 6 years ago
- Hyperparameter tuning for machine learning models using a distributed genetic algorithm☆91Updated last year
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 11 months ago
- Building Decision Trees From Scratch In Python☆68Updated 6 months ago
- scikit-learn compatible projects☆406Updated 10 months ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 7 years ago
- Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…☆112Updated 6 years ago