GitHub topics: bayesian-optimization
rembertdesigns/F1-car-setup-optimizer
An interactive F1 engineering workbench built with Streamlit and Bayesian Optimization. Designed for racing fans, data scientists, and engineers to explore optimal car setups by balancing lap time, tire wear, and handling performance.
Language: Python - Size: 1.1 MB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Language: Python - Size: 4.68 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1,598 - Forks: 105
experimental-design/bofire
Experimental design and (multi-objective) bayesian optimization.
Language: Jupyter Notebook - Size: 54.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 306 - Forks: 32
emdgroup/baybe
Bayesian Optimization and Design of Experiments
Language: Python - Size: 83.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 395 - Forks: 57
Vishnupriya-Navigator/SmallSatellites
AI testbed for mission-critical software optimization using telemetry, ML, and Bayesian tuning (SmallSat 2025)
Language: Python - Size: 666 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Language: Python - Size: 52.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 8,385 - Forks: 1,575
colinbousige/OPTIMEO
OPTIMEO is a web application doubled by a package that helps you optimize your experimental process by generating a Design of Experiment, generating new experiments using Bayesian Optimization (BO), and analyzing the results of your experiments using Machine Learning models.
Language: HTML - Size: 24.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 2
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python - Size: 31.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 529 - Forks: 49
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Language: Python - Size: 38.4 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1,242 - Forks: 92
chanzuckerberg/octopi
Search for Protein 3D Coordinates in CryoET Tomograms
Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 1
microsoft/nni π¦
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Language: Python - Size: 127 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 14,267 - Forks: 1,825
ja-thomas/pbmohpo
Preferential Bayesian Multi-Objective Hyperparameter Optimization
Language: Python - Size: 3.03 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0
jbirky/alabi
Active Learning Accelerated Bayesian Inference (ALABI)
Language: Python - Size: 50 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 5 - Forks: 0
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 9 days ago - Pushed at: 11 days ago - Stars: 7,937 - Forks: 1,310
dawnfield-institute/dawn-field-theory
A post-symbolic physics framework modeling intelligence, collapse, and emergence through entropy flow.
Language: Python - Size: 309 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0
SamoraHunter/ml_binary_classification_gridsearch_hyperOpt
Automated machine learning. Evaluate a battery of binary classification algorithms across feature and hyper-parameter spaces.
Language: Python - Size: 1.96 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
pabloprf/MITIM-fusion
MITIM (MIT Integrated Modeling) Suite for Fusion Applications
Language: Python - Size: 103 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 15 - Forks: 6
resibots/limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Language: C++ - Size: 85.6 MB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 255 - Forks: 58
rentruewang/bocoel
Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.
Language: Python - Size: 6.96 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 285 - Forks: 17
adamkurth/understanding-series
This is a series of subrepos where I explore theoretical and practical concepts, algorithms, and techniques used in statistics and machine learning.
Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Language: Python - Size: 10.9 MB - Last synced at: 10 days ago - Pushed at: 17 days ago - Stars: 413 - Forks: 56
LC-Linkous/bayesian_optimization_python
Repository for Bayesian Optimization with a small surrogate model library in Python
Language: Python - Size: 208 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
soldasim/BOSS.jl
BOSS (Bayesian Optimization with Semiparametric Surrogate)
Language: Julia - Size: 3.29 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 5 - Forks: 1
automl/HPOBench
Collection of hyperparameter optimization benchmark problems
Language: Python - Size: 741 KB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 154 - Forks: 36
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Language: Python - Size: 15.6 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 635 - Forks: 131
jprmaulion/tb-hama-predict-xgboost
Predicting early treatment departure risk in tuberculosis patients using a Bayesian-optimized XGBoost model on clinical data from the Philippines.
Language: Jupyter Notebook - Size: 208 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
alonfnt/bayex
Minimal Implementation of Bayesian Optimization in JAX
Language: Python - Size: 370 KB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 97 - Forks: 3
janosh/matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Language: Python - Size: 267 MB - Last synced at: 10 days ago - Pushed at: 20 days ago - Stars: 181 - Forks: 46
automl/HpBandSter
a distributed Hyperband implementation on Steroids
Language: Python - Size: 7.17 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 617 - Forks: 108
Data-Science-in-Mechanical-Engineering/hci-gibo
Code to reproduce the results from the paper "Simulation-Aided Policy Tuning for Black-Box Robot Learning".
Language: Python - Size: 88.9 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
tstran155/Optimization-of-building-energy-consumption
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 31 - Forks: 8
oxfordcontrol/Bayesian-Optimization
Reference implementation of Optimistic Expected Improvement.
Language: Python - Size: 118 KB - Last synced at: 6 days ago - Pushed at: over 5 years ago - Stars: 50 - Forks: 10
JuliaNonconvex/Nonconvex.jl
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Language: Julia - Size: 2.31 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 118 - Forks: 10
ytopt-team/ytopt
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
Language: C - Size: 25.6 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 49 - Forks: 18
acerbilab/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Language: MATLAB - Size: 4.42 MB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 256 - Forks: 39
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 155 MB - Last synced at: 10 days ago - Pushed at: 18 days ago - Stars: 1,188 - Forks: 238
thieu1995/MetaSklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
Language: Python - Size: 137 KB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0
ComputationalDesignLab/blackbox
Blackbox provides a standarized and efficient interface for evaluating multidisciplinary blackbox functions for various surrogate-based design activities
Language: Python - Size: 42.7 MB - Last synced at: about 19 hours ago - Pushed at: about 21 hours ago - Stars: 3 - Forks: 2
Reckziegel/epo
Enhanced Portfolio Optimization (EPO)
Language: R - Size: 4.9 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 419 - Forks: 48
justinjjlee/NHL-Analytics
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Language: Python - Size: 53.3 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 18 - Forks: 1
sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Language: JavaScript - Size: 5.57 MB - Last synced at: 14 days ago - Pushed at: almost 5 years ago - Stars: 340 - Forks: 53
jacob44444/HPSv3
π HPSv3: wide-spectrum human preference score model and dataset for image and multimodal evaluation; includes code, pretrained models, and the HPDv3 dataset.
Language: Python - Size: 44.3 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
automl/SVGe
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Language: Python - Size: 10.9 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 0
PKU-DAIR/open-box Fork of thomas-young-2013/open-box
Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
Language: Python - Size: 17 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 420 - Forks: 58
uber/bayesmark
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Language: Python - Size: 209 KB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 153 - Forks: 33
ashriva16/bayesian-optimization-sputter-deposition
Bayesian optimization of sputter-deposition
Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
sustainable-processes/summit
Optimising chemical reactions using machine learning
Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 132 - Forks: 29
thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Language: Python - Size: 63 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 62 - Forks: 28
yuki-koyama/sequential-gallery
Sequential Gallery for Interactive Visual Design Optimization [SIGGRAPH 2020]
Language: C++ - Size: 2.05 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 21 - Forks: 2
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
Language: R - Size: 13.7 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 26 - Forks: 1
TUMFTM/Tire_Parameter_and_Uncertainty_Estimation
Tire Parameter and Uncertainty Estimation for Real-World Data with Bayesian Optimization
Language: Python - Size: 16.4 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 1
quantive3/vwap-reclaim
Mini tooling for intraday options trading.
Language: Python - Size: 6.24 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
richardcsuwandi/awesome-bo
A curated repository of awesome Bayesian optimization resources.
Size: 134 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2
VlachosGroup/nextorch
Experimental design and Bayesian optimization library in Python/PyTorch
Language: Python - Size: 48.1 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 53 - Forks: 11
DavidLindahl/bayesopt-playground Fork of Badecar/bayesian-optimization
Comparing acquisition functions in Bayesian Optimization. Implementations, visual comparisons, and analysis of different acquisition strategies.
Language: Python - Size: 21.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Plant-Food-Research-Open/calisim
A toolbox for the calibration and evaluation of simulation models.
Language: Python - Size: 7.11 MB - Last synced at: 7 days ago - Pushed at: 14 days ago - Stars: 15 - Forks: 2
kiudee/bayes-skopt
A fully Bayesian implementation of sequential model-based optimization
Language: Python - Size: 7 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 40 - Forks: 6
FoamScience/OpenFOAM-Multi-Objective-Optimization
A tiny project to use ax-platform for multi-objective Bayesian Optimization on OpenFOAM cases
Language: Python - Size: 740 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 6
gdikov/hypertunity
A toolset for black-box hyperparameter optimisation.
Language: Python - Size: 1.39 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 135 - Forks: 10
samsinai/FLEXS
Fitness landscape exploration sandbox for biological sequence design.
Language: Jupyter Notebook - Size: 174 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 165 - Forks: 22
aspuru-guzik-group/phoenics
Phoenics: Bayesian optimization for efficient experiment planning
Language: Python - Size: 17.4 MB - Last synced at: 6 days ago - Pushed at: about 6 years ago - Stars: 94 - Forks: 20
wangronin/Bayesian-Optimization
Bayesian Optimization algorithms with various recent improvements
Language: Python - Size: 5.51 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 100 - Forks: 16
abodedaniel/CADIC
This repository contains code for the work Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks
Language: Python - Size: 117 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ComputationalDesignLab/snbo
Scalable Neural Network-based Blackbox Optimization (SNBO) algorithm
Language: Python - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
blindedjoy/RcTorch
a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
Language: Jupyter Notebook - Size: 369 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 12
GPflow/GPflowOpt
Bayesian Optimization using GPflow
Language: Python - Size: 3.35 MB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 271 - Forks: 60
dme65/pySOT
Surrogate Optimization Toolbox for Python
Language: Jupyter Notebook - Size: 8.28 MB - Last synced at: 12 days ago - Pushed at: almost 4 years ago - Stars: 212 - Forks: 53
JanisGeise/airfoil_shape_optimization
airfoil shape optimization with OpenFOAM and Bayesian optimization
Language: C++ - Size: 72.3 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
staifmatej/prg-precipitation-forecast-hmm
This repository contains the implementation of Hidden Markov Models for daily precipitation forecasting in Prague, using 25 years of meteorological data from Prague-RuzynΔ station.
Language: Jupyter Notebook - Size: 963 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
MSDLLCpapers/obsidian
Algorithmic process optimization and AI experiment design
Language: Python - Size: 12 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 34 - Forks: 6
cog-imperial/entmoot
Multiobjective black-box optimization using gradient-boosted trees
Language: Python - Size: 993 KB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 60 - Forks: 12
JackBuck/decoupled-kg
Multi-objective Bayesian optimization with decoupled objectives using knowledge gradient and expectation over linear scalarisations
Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1
denysgerasymuk799/virny-flow
A design space for responsible model development that combines evaluation protocol definition, multi-objective Bayesian optimization, cost-aware multi-armed bandits, query optimization, and distributed parallelism.
Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
mdbasit897/clinical-bp-prediction-ehr
Clinical blood pressure prediction from EHR data with external validation across MIMIC-III and eICU databases. Features Bayesian optimization, uncertainty quantification, and rigorous data leakage prevention for clinical deployment.
Language: Python - Size: 13.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
ISG-Siegen/lenskit-auto
An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.
Language: Python - Size: 2.65 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 2 - Forks: 1
sherrylixuecheng/EMQAOA-DARBO
This is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"
Language: Jupyter Notebook - Size: 254 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 14 - Forks: 2
songlei00/bbo
Black-box optimization for real-world scenario
Language: Python - Size: 189 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1
aamini/chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Language: Python - Size: 279 MB - Last synced at: 11 days ago - Pushed at: about 4 years ago - Stars: 123 - Forks: 16
ray-project/tune-sklearn π¦
A drop-in replacement for Scikit-Learnβs GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Language: Python - Size: 13.8 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 467 - Forks: 51
facebookresearch/ax-paper
This repository contains the code for generating the benchmark results in the following paper Olson et al. Ax A Platform for Adaptive Experimentation. AutoML Conference, 2025. https://openreview.net/forum?id=U1f6wHtG1g
Language: Python - Size: 575 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
basf/mopti
Lightweight tools for experimental design and multi-objective optimization.
Language: Python - Size: 3.12 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 30 - Forks: 3
k-karna/motion_planning
Autonomous Vehicle (AV) Motion Planning with Reinforcement Learning methods - DQN, PPO | Bayesian Optimization Parameter Search
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
OpfinAI/xai-bugs
Experiments and bug investigations with SHAP, InterpretML, LightGBM, and FastTreeSHAP for Explainable AI (XAI) models.
Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Language: MATLAB - Size: 19.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 23 - Forks: 0
michaelosthege/pyrff
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Language: Jupyter Notebook - Size: 73.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 28 - Forks: 2
LamNgo1/moca-hesp
[ECAI' 25]: MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning
Language: Python - Size: 233 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
wiseodd/lapeft-bayesopt
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
Language: Python - Size: 4.85 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 2
issp-center-dev/PHYSBO
PHYSBO -- optimization tools for PHYsics based on Bayesian Optimization
Language: Python - Size: 18.1 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 77 - Forks: 19
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 510 - Forks: 132
hantablack9/market-lead-scoring-propensity-modeling2
This ML project (being setup) is for building, testing and deploying models for qualifying sales leads. Current best model is XGBoost classifier which accurately predicts 82% of converting leads. Currently refactoring code for for modularity, applying SOLID principles for scalability, testing, and deployment.
Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
acerbilab/amortized-conditioning-engine
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
Language: Jupyter Notebook - Size: 285 MB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 19 - Forks: 1
samruddhi3012/Insurance-Price-Forecasting
This is a Machine Learning project where I performed EDA and forecasted the insurance pricing using Linear Regression and XGBoost Regressor.
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
ltiao/bore
Bayesian Optimization with Density-Ratio Estimation
Language: Python - Size: 9 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 3
noblec04/MatlabGP
Flexible Gaussian Process model with user friendly kernel and mean function construction inspired by STHENO.
Language: MATLAB - Size: 13.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Language: Python - Size: 168 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 771 - Forks: 113
sambo-optimization/sambo
π―π Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO for fast convergence
Language: Python - Size: 144 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 20 - Forks: 0
baggepinnen/Hyperopt.jl
Hyperparameter optimization in Julia.
Language: Julia - Size: 213 KB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 202 - Forks: 19
MohammedSaim-Quadri/Intrusion_Detection-System
This project is an Intrusion Detection System (IDS) using machine learning (ML) and deep learning (DL) to detect network intrusions. It leverages the CICIDS2018 dataset to classify traffic as normal or malicious. Key features include data preprocessing, model training, hyperparameter tuning, and Docker containerization for scalable deployment.
Language: Python - Size: 8.61 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
Akarshjha03/Machine-Learning-Algorithms
Comprehensive collection of machine learning algorithms covering Supervised and Unsupervised Learning, Artificial Neural Networks, Genetic Algorithms, Bayesian Learning, Fuzzy Logic, and Optimization Techniques. Ideal for beginners and enthusiasts!
Language: Python - Size: 6.12 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0
