Topic: "hyperparameter-optimization"
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: 543 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 37,882 - Forks: 6,569
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: 1 day ago - Pushed at: 11 months ago - Stars: 26,280 - Forks: 4,677
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: about 1 year ago - Stars: 14,228 - Forks: 1,825
optuna/optuna
A hyperparameter optimization framework
Language: Python - Size: 20.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 12,256 - Forks: 1,129
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: 174 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10,056 - Forks: 755
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 87.5 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 9,934 - Forks: 1,579
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Language: Python - Size: 22 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9,106 - Forks: 1,039
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 3 days ago - Pushed at: 18 days ago - Stars: 7,880 - Forks: 1,306
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Language: Jupyter Notebook - Size: 208 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 4,161 - Forks: 541
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Size: 16.8 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 4,094 - Forks: 687
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: 206 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 3,791 - Forks: 2,535
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Size: 121 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 3,651 - Forks: 319
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Language: Python - Size: 9.34 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 3,175 - Forks: 420
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: 13 days ago - Pushed at: 4 months ago - Stars: 3,156 - Forks: 364
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
Language: Python - Size: 1.93 MB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 2,893 - Forks: 401
scikit-optimize/scikit-optimize 📦
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 8.99 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 2,775 - Forks: 553
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: 3.82 MB - Last synced at: 12 days ago - Pushed at: 28 days ago - Stars: 2,473 - Forks: 557
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language: Python - Size: 758 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 2,176 - Forks: 318
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Language: Python - Size: 1.38 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 1,651 - Forks: 312
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
Language: Python - Size: 3.07 MB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 1,637 - Forks: 267
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Language: Python - Size: 4.73 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,577 - Forks: 102
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: 388 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1,312 - Forks: 404
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: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1,293 - Forks: 304
reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Language: Python - Size: 9.03 MB - Last synced at: 22 days ago - Pushed at: about 7 years ago - Stars: 1,266 - Forks: 104
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: 7 days ago - Pushed at: 7 days ago - Stars: 1,235 - Forks: 91
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 155 MB - Last synced at: 6 days ago - Pushed at: 12 days ago - Stars: 1,181 - Forks: 237
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: about 2 months ago - Pushed at: over 2 years ago - Stars: 1,175 - Forks: 209
guan-yuan/Awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Size: 150 KB - Last synced at: 24 days ago - Pushed at: about 4 years ago - Stars: 854 - Forks: 160
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Language: Python - Size: 61 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 793 - Forks: 65
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: 4 days ago - Pushed at: 12 months ago - Stars: 771 - Forks: 113
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
Language: Python - Size: 4.09 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 765 - Forks: 184
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: about 2 months ago - Pushed at: almost 3 years ago - Stars: 735 - Forks: 73
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: 19 days ago - Pushed at: over 4 years ago - Stars: 708 - Forks: 101
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
Language: Python - Size: 225 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 677 - Forks: 87
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
Language: TypeScript - Size: 16.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 647 - Forks: 103
automl/HpBandSter
a distributed Hyperband implementation on Steroids
Language: Python - Size: 7.17 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 618 - Forks: 107
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: 18 days ago - Pushed at: 2 months ago - Stars: 612 - Forks: 62
zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
Language: Python - Size: 370 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 593 - Forks: 72
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Language: Jupyter Notebook - Size: 122 KB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 578 - Forks: 72
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: 17 days ago - Pushed at: over 5 years ago - Stars: 530 - Forks: 139
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python - Size: 30.7 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 524 - Forks: 49
chrisstroemel/Simple
Experimental Global Optimization Algorithm
Language: Python - Size: 11 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 482 - Forks: 39
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: 9 months ago - Stars: 477 - Forks: 90
lijqhs/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Size: 9.38 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 475 - Forks: 147
jmrichardson/tuneta
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Language: Python - Size: 713 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 434 - Forks: 74
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
Language: Python - Size: 389 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 432 - Forks: 71
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: 8 months ago - Pushed at: almost 2 years ago - Stars: 423 - Forks: 111
bharathgs/Awesome-Distributed-Deep-Learning
A curated list of awesome Distributed Deep Learning resources.
Size: 53.7 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 421 - Forks: 85
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 418 - Forks: 48
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Language: Python - Size: 10.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 410 - Forks: 55
yzkang/My-Data-Competition-Experience
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
Language: Python - Size: 27.6 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 393 - Forks: 68
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Language: Python - Size: 124 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 343 - Forks: 83
IBM/lale
Library for Semi-Automated Data Science
Language: Python - Size: 40.8 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 339 - Forks: 80
sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Language: JavaScript - Size: 5.57 MB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 339 - Forks: 54
leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Language: Python - Size: 2.85 MB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 338 - Forks: 28
thuijskens/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
Language: Jupyter Notebook - Size: 679 KB - Last synced at: 8 months ago - Pushed at: over 8 years ago - Stars: 309 - Forks: 127
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
Language: Python - Size: 49.2 MB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 294 - Forks: 50
deephyper/deephyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
Language: Python - Size: 44.1 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 292 - Forks: 62
datarobot/syftr
syftr is an agent optimizer that helps you find the best agentic workflows for your budget.
Language: Python - Size: 2.65 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 283 - Forks: 19
DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Language: Python - Size: 7.62 MB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 278 - Forks: 31
GPflow/GPflowOpt
Bayesian Optimization using GPflow
Language: Python - Size: 3.35 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 272 - Forks: 60
wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Language: C++ - Size: 15.6 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 63
DataCanvasIO/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Language: Python - Size: 17.8 MB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 265 - Forks: 40
WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
Language: Python - Size: 224 KB - Last synced at: about 18 hours ago - Pushed at: over 2 years ago - Stars: 256 - Forks: 42
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: 16 days ago - Pushed at: 5 months ago - Stars: 235 - Forks: 31
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: about 19 hours ago - Pushed at: almost 2 years ago - Stars: 233 - Forks: 45
project-codeflare/codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 19 days ago - Pushed at: almost 2 years ago - Stars: 232 - Forks: 36
scicloj/scicloj.ml
A Clojure machine learning library
Language: Clojure - Size: 5.08 MB - Last synced at: 19 days ago - Pushed at: 8 months ago - Stars: 231 - Forks: 16
kruize/autotune
Autonomous Performance Tuning for Kubernetes!
Language: Java - Size: 9.25 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 207 - Forks: 60
baggepinnen/Hyperopt.jl
Hyperparameter optimization in Julia.
Language: Julia - Size: 213 KB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 200 - Forks: 19
LGE-ARC-AdvancedAI/auptimizer
An automatic ML model optimization tool.
Language: Python - Size: 52.1 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 200 - Forks: 28
mlr-org/mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Language: R - Size: 77.5 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 188 - Forks: 47
lucfra/FAR-HO
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Language: Jupyter Notebook - Size: 505 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 188 - Forks: 47
TUM-DAML/seml
SEML: Slurm Experiment Management Library
Language: Python - Size: 1.51 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 181 - Forks: 32
MLBazaar/BTB
A simple, extensible library for developing AutoML systems
Language: Python - Size: 16.3 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 175 - Forks: 41
callous-youth/BOML
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Language: Python - Size: 248 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 171 - Forks: 37
MattKleinsmith/pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Language: Python - Size: 120 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 166 - Forks: 25
NVIDIA/Milano 📦
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Language: Python - Size: 351 KB - Last synced at: 4 days ago - Pushed at: over 6 years ago - Stars: 155 - Forks: 24
automl/HPOBench
Collection of hyperparameter optimization benchmark problems
Language: Python - Size: 741 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 149 - Forks: 36
avaneev/biteopt
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Language: C++ - Size: 3.32 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 148 - Forks: 9
negrinho/deep_architect_legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
Language: Python - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 145 - Forks: 20
MetaEvo/MetaBox
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
Language: Python - Size: 438 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 139 - Forks: 15
gdikov/hypertunity
A toolset for black-box hyperparameter optimisation.
Language: Python - Size: 1.39 MB - Last synced at: 14 days ago - Pushed at: over 5 years ago - Stars: 136 - Forks: 10
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Language: Python - Size: 13.8 MB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 127 - Forks: 30
solegalli/hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 123 - Forks: 194
AIworx-Labs/chocolate
A fully decentralized hyperparameter optimization framework
Language: Python - Size: 2.33 MB - Last synced at: 21 days ago - Pushed at: 12 months ago - Stars: 123 - Forks: 40
negrinho/deep_architect
A general, modular, and programmable architecture search framework
Language: Python - Size: 1.81 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 123 - Forks: 18
MolecularAI/QSARtuna
QSARtuna: QSAR model building with the optuna framework
Language: Jupyter Notebook - Size: 106 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 115 - Forks: 17
ili3p/HORD
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Language: Python - Size: 1.51 MB - Last synced at: 2 months ago - Pushed at: almost 8 years ago - Stars: 115 - Forks: 22
jrzaurin/ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 109 - Forks: 51
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: about 1 month ago - Pushed at: over 3 years ago - Stars: 108 - Forks: 15
seba-1511/randopt
Streamlined machine learning experiment management.
Language: HTML - Size: 9.89 MB - Last synced at: 17 days ago - Pushed at: about 5 years ago - Stars: 107 - Forks: 8
guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Language: Python - Size: 119 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 106 - Forks: 76
amore-labs/gama
An automated machine learning tool aimed to facilitate AutoML research.
Language: Python - Size: 133 MB - Last synced at: 12 days ago - Pushed at: 10 months ago - Stars: 99 - Forks: 29
arsedler9/lfads-torch
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Language: Jupyter Notebook - Size: 32 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 97 - Forks: 23
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: 9 months ago - Stars: 95 - Forks: 16
jungtaekkim/bayeso
Simple, but essential Bayesian optimization package
Language: Python - Size: 5.38 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 94 - Forks: 9
maxim5/hyper-engine
Python library for Bayesian hyper-parameters optimization
Language: Python - Size: 399 KB - Last synced at: 19 days ago - Pushed at: almost 7 years ago - Stars: 91 - Forks: 23
logicalclocks/maggy
Distribution transparent Machine Learning experiments on Apache Spark
Language: Python - Size: 5.74 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 14
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: 10 months ago - Stars: 89 - Forks: 19
