GitHub topics: hyperparameter-optimization
antbartash/australian_rain
HPO for DNN and other ML algorithms
Language: Jupyter Notebook - Size: 9.63 MB - Last synced at: about 18 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0
lpestov/interactive_ai_model_builder
Smart builder for interaction with AI and ML
Language: Jupyter Notebook - Size: 207 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 24 - Forks: 1
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Language: Python - Size: 3.8 MB - Last synced at: about 8 hours ago - Pushed at: 6 days ago - Stars: 2,449 - Forks: 555
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python - Size: 30.6 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 522 - Forks: 49
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Language: Python - Size: 124 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 339 - Forks: 82
microsoft/nni 📦
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: 3 days ago - Pushed at: 11 months ago - Stars: 14,199 - Forks: 1,817
automl/HPOBench
Collection of hyperparameter optimization benchmark problems
Language: Python - Size: 741 KB - Last synced at: 1 day ago - Pushed at: 18 days ago - Stars: 147 - Forks: 36
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Language: Python - Size: 22.1 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 8,908 - Forks: 1,025
ilahuerta-IA/applied-ml-trading-lstm-eurusd
LSTM model for EURUSD price forecasting, exploring techniques from 'Machine Learning Aplicado al Trading'.
Language: Jupyter Notebook - Size: 24 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0
datarobot/syftr
syftr is an agent optimizer that helps you find the best agentic workflows for your budget.
Language: Python - Size: 2.69 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 248 - Forks: 14
mlr-org/bbotk
Black-box optimization framework for R.
Language: R - Size: 23.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 23 - Forks: 9
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
Language: Python - Size: 3.15 MB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 760 - Forks: 185
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 155 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,167 - Forks: 235
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Size: 121 MB - Last synced at: 3 days ago - Pushed at: 5 days ago - Stars: 3,644 - Forks: 317
optuna/optuna
A hyperparameter optimization framework
Language: Python - Size: 19.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 12,046 - Forks: 1,109
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Language: Python - Size: 173 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9,931 - Forks: 743
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
Language: R - Size: 13.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 25 - Forks: 1
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Language: Python - Size: 524 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 37,335 - Forks: 6,335
Aashir01124/Neural-Network-Modifications-Hyperparameter-Experiments
Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.
Size: 1.95 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
Language: Python - Size: 225 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 671 - Forks: 86
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Language: Python - Size: 10.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 406 - Forks: 53
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Language: Python - Size: 303 MB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 25,942 - Forks: 4,644
kruize/autotune
Autonomous Performance Tuning for Kubernetes!
Language: Java - Size: 8.93 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 205 - Forks: 60
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
Language: Python - Size: 389 KB - Last synced at: 35 minutes ago - Pushed at: 12 days ago - Stars: 423 - Forks: 70
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
Language: TypeScript - Size: 15.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 627 - Forks: 99
auto-flow/ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Language: Python - Size: 10.3 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 108 - Forks: 15
automl/neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Language: Python - Size: 23.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 77 - Forks: 17
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 7,851 - Forks: 1,303
mnochtioui/House-Prices---Advanced-Regression-Techniques
Detailed walkthrough of a data science project for the Kaggle House Prices challenge, covering data cleaning, EDA, feature engineering, and regression modeling.
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Language: Python - Size: 60.3 MB - Last synced at: 7 days ago - Pushed at: 9 days ago - Stars: 771 - Forks: 63
rnburn/bbai
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
Language: Python - Size: 1.16 GB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 62 - Forks: 2
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: 6 days ago - Pushed at: 24 days ago - Stars: 9,908 - Forks: 1,578
Helmholtz-AI-Energy/propulate
Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Language: Python - Size: 8.17 MB - Last synced at: 3 days ago - Pushed at: 6 days ago - Stars: 39 - Forks: 7
thieu1995/MetaSklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
Language: Python - Size: 103 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0
automl/hposuite
A lightweight framework for benchmarking HPO algorithms
Language: Python - Size: 670 KB - Last synced at: 1 day ago - Pushed at: 9 days ago - Stars: 2 - Forks: 0
tohtsky/irspack
Train, evaluate, and optimize implicit feedback-based recommender systems.
Language: Python - Size: 733 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 9
mlr-org/mlr3tuning
Hyperparameter optimization package of the mlr3 ecosystem
Language: R - Size: 10.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 55 - Forks: 5
MetaEvo/MetaBox
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
Language: Python - Size: 438 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 127 - Forks: 13
automl/hpoglue
HPO tool with a modular API that allows for the easy interfacing of a new Optimizer and a new Benchmark
Language: Python - Size: 177 KB - Last synced at: 1 day ago - Pushed at: 10 days ago - Stars: 4 - Forks: 0
dmitryglhf/autodask
AutoML Library Based on Dask with Bee Colony Optimization
Language: Python - Size: 1.49 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 2 - Forks: 0
saattrupdan/naturalselection 📦
A general-purpose pythonic genetic algorithm.
Language: Python - Size: 4.85 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 1
danial-hosseinpour/Machine-Learning-Projects
This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0
rlhinrichs/neural-networks
📊 Time-Series Forecasting for Wearable Device Sensors
Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Language: Go - Size: 198 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 3,142 - Forks: 364
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Language: Jupyter Notebook - Size: 206 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 4,138 - Forks: 535
ShovalBenjer/Power_Transform_Box-Cox_Supervised_ML
This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.
Language: Jupyter Notebook - Size: 7.67 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 1
openmole/mgo
Purely functional genetic algorithms for multi-objective optimisation
Language: Scala - Size: 3.48 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 72 - Forks: 5
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Language: Python - Size: 1.38 MB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 1,649 - Forks: 312
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
Language: Python - Size: 1.93 MB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 2,885 - Forks: 398
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language: Python - Size: 758 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 2,178 - Forks: 318
okita871/determined
Build customized JSON and HCL Unmarshaler with Determined hcl, json
Language: Go - Size: 119 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
klieret/wandb-offline-sync-hook
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Language: Python - Size: 242 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 79 - Forks: 7
TUM-DAML/seml
SEML: Slurm Experiment Management Library
Language: Python - Size: 1.51 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 182 - Forks: 31
EpistasisLab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 232 - Forks: 31
benchopt/benchmark_bilevel
Benchmark for bi-level optimization solvers
Language: Python - Size: 382 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 46 - Forks: 10
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: 12 days ago - Pushed at: 11 months ago - Stars: 766 - Forks: 113
DAVIDDAIJUNCHEN/Shape-Transfer-Bayesian-Optimization
This project aims to implement Shape Transfer Bayesian Optimization, and compare it with other existing transfer Bayesian Optimization Methods.
Language: Python - Size: 90 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Language: Jupyter Notebook - Size: 235 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 1,293 - Forks: 304
levisstrauss/End-to-End-MLOps-Pipeline-NYC-Rental-Price-Prediction
End-to-end MLOps pipeline for NYC short-term rental price prediction using MLflow and W&B. Features data validation, feature engineering, model training, hyperparameter optimization, and automated deployment with weekly retraining.
Language: Jupyter Notebook - Size: 6.71 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
levisstrauss/Bike-Rental-Forecasting-System-with-AutoGluon
Machine learning project achieving 66% RMSE improvement in bike sharing demand prediction using AutoGluon, temporal feature engineering, and systematic hyperparameter optimization. Demonstrates iterative model development from baseline (1.32 RMSE) to optimized solution (0.45 RMSE).
Language: HTML - Size: 4.49 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Language: Jupyter Notebook - Size: 392 MB - Last synced at: 19 days ago - Pushed at: 27 days ago - Stars: 1,291 - Forks: 392
HDI-Project/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Language: Python - Size: 8.57 MB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 529 - Forks: 139
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Language: Jupyter Notebook - Size: 207 MB - Last synced at: 19 days ago - Pushed at: 30 days ago - Stars: 3,680 - Forks: 2,511
ali03423/applied-ml-trading-lstm-eurusd
LSTM model for EURUSD price forecasting, exploring techniques from 'Machine Learning Aplicado al Trading'.
Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Language: Python - Size: 7.62 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 276 - Forks: 30
Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Language: Python - Size: 8.16 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 612 - Forks: 62
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Language: Python - Size: 9.44 MB - Last synced at: 20 days ago - Pushed at: about 2 months ago - Stars: 3,154 - Forks: 422
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Language: Python - Size: 4.69 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 1,560 - Forks: 100
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Language: Python - Size: 38.3 MB - Last synced at: 19 days ago - Pushed at: 27 days ago - Stars: 1,231 - Forks: 90
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 416 - Forks: 48
williamFalcon/test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Language: JavaScript - Size: 1.45 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 735 - Forks: 73
leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Language: Python - Size: 2.85 MB - Last synced at: 23 days ago - Pushed at: 12 months ago - Stars: 339 - Forks: 28
henryhcooperr/FaceRecognition-MultiArchitecture-Pipeline
A comprehensive face recognition system featuring multiple deep learning architectures (CNN, Siamese, ArcFace, Transformer-hybrid), interactive interface, advanced preprocessing pipeline, hyperparameter optimization, and real-time demo capabilities. Includes visualization tools, cross-validation, and support for multiple datasets.
Language: Python - Size: 651 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
marcelovca90/auto-ml-evaluation
Code of the article "A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification".
Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 8 - Forks: 1
deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Language: Python - Size: 44.3 MB - Last synced at: 16 days ago - Pushed at: 20 days ago - Stars: 289 - Forks: 63
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
Language: Python - Size: 25.9 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 233 - Forks: 45
microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Language: Python - Size: 48.3 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 477 - Forks: 89
amore-labs/gama
An automated machine learning tool aimed to facilitate AutoML research.
Language: Python - Size: 133 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 99 - Forks: 29
SayamAlt/Company-Bankruptcy-Prediction
Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.
Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0
HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Language: Python - Size: 7.27 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 707 - Forks: 101
discovery-unicamp/Minerva
Minerva is a framework for training machine learning models for researchers.
Language: Python - Size: 16.9 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 4 - Forks: 7
Jayplect/Funding-recommendation-engine
For this project, I built a binary classifier to predict the success of applicants seeking funding from Alphabet Soup. Leveraging the features in the dataset, the model uses machine learning and neural networks to make accurate predictions.
Language: Jupyter Notebook - Size: 110 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0
bundasmanu/skin_mnist
Analysis of Skin Cancer MNIST: HAM10000
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0
aimclub/iOpt
Framework of intelligent optimization methods iOpt
Language: Python - Size: 49.9 MB - Last synced at: 24 days ago - Pushed at: 27 days ago - Stars: 54 - Forks: 24
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Size: 16.8 MB - Last synced at: 27 days ago - Pushed at: 12 months ago - Stars: 4,087 - Forks: 690
zahra-ahmadbeigloo/Machine-Learning-Projects
This repository contains machine learning projects, where models are trained for classification, regression, clustering, and deep learning tasks. Each project includes data preprocessing, feature engineering, model training, evaluation, and visualizations to support findings.
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
araffin/rl-baselines-zoo 📦
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Language: Python - Size: 367 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 1,175 - Forks: 209
polyaxon/cli
Polyaxon Core Client & CLI to streamline MLOps
Language: Python - Size: 4.53 MB - Last synced at: 7 days ago - Pushed at: 29 days ago - Stars: 19 - Forks: 18
holgern/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 19.8 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 2
gmontamat/gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Language: Python - Size: 622 KB - Last synced at: 24 days ago - Pushed at: 9 months ago - Stars: 89 - Forks: 19
ytopt-team/ytopt
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
Language: C - Size: 25.7 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 47 - Forks: 17
sambo-optimization/sambo
🎯📈 Sequantial and model-based optimization
Language: Python - Size: 108 KB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 0
Tunny-gh/Tunny_in_Open_Sea 📦
Tunny with version 0. It is open source.
Language: C# - Size: 7 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 69 - Forks: 8
microsoft/CoML
Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.
Language: Python - Size: 12.6 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 93 - Forks: 16
milagjurovska/PPI-link-prediction-with-optimized-gcn-and-gan
Comparing different biologically inspired algorithms in hyperparameter tuning in GCN and GAN models for link prediction in a protein-protein interaction network.
Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
Language: Python - Size: 49.2 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 294 - Forks: 50
xadrianzetx/optuna-distributed
Distributed hyperparameter optimization made easy
Language: Python - Size: 194 KB - Last synced at: 18 days ago - Pushed at: 12 months ago - Stars: 37 - Forks: 1
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: 18 days ago - Pushed at: over 3 years ago - Stars: 59 - Forks: 28
solegalli/hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 123 - Forks: 194
Lemniscate-world/Neural
Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.
Language: HTML - Size: 501 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 1
