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47 search results found

Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Parallel Hyperparameter Tuning in Python

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

Lstm_anomaly_thesis ⭐ 191

Anomaly detection for temporal data using LSTMs

Surrogate Optimization Toolbox for Python

Deepaugment ⭐ 150

Discover augmentation strategies tailored for your dataset

Fitness landscape exploration sandbox for biological sequence design.

Visualizations of machine learning models and algorithms

Optimising chemical reactions using machine learning

Experimental design and (multi-objective) bayesian optimization.

Bayesian neural network package

Kesci Urdu Sentiment Analysis ⭐ 62

sentiment-analysis

Hyperparameter_optimization_strategies ⭐ 54

This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube

Self Driving Lab Demo ⭐ 54

Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.

Keras_gpyopt ⭐ 51

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Post Bayesian Optimization ⭐ 37

Exploring Bayesian Optimization

Bayesian Optimisation ⭐ 36

Finding the best parameters for any algorithm

Processoptimizer ⭐ 32

A tool to optimize real world problems

Vanilla Machine Learning ⭐ 30

vanilla machine learning

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Bayesian_optimization ⭐ 23

Bayesian optimization

Dynamic causal Bayesian optimisation

pyrff: Python implementation of random fourier feature approximations for gaussian processes

Insolver ⭐ 16

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning

Camelsoptimizer ⭐ 16

Yes, it's a camel case.

Hyperparameters Optimization ⭐ 14

Hyperparameters-Optimization

Knownoptimum_bo ⭐ 11

Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization

Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

Bo_of_cofs ⭐ 11

Python code for the paper Bayesian Optimization of Nanoporous Materials.

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

Keras_bayesianoptimization ⭐ 10

How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology

Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbalance) datasets.

Supporting code for the "Autonomous retrosynthesis of gold nanoparticles via spectral shape matching" paper. DOI : 10.1039/D2DD00025C

Asteroidroutingproblem ⭐ 6

The Asteroid Routing Problem: A Benchmark for Expensive Black-Box Permutation Optimization

Release code for Bayesian Optimization for Iterative Learning (BOIL) at NeurIPS2020

Bayesian optimization with DNGO (Deep Networks for Global Optimization)

This repository contains the code for the paper "Local policy search with Bayesian optimization".

Bayesian Optimization ⭐ 5

CakeOpt is a Bayesian optimisation package written in Python.

Bayesian Gradient Descent Algorithm Model for TensorFlow

Bayesian Deep Learning ⭐ 5

Hyper Optimizer ⭐ 5

Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt

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