GitHub topics: 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: 587 MB - Last synced at: about 4 hours ago - Pushed at: about 4 hours ago - Stars: 39,641 - Forks: 6,855
kubeflow/sdk
Universal Python SDK to run AI workloads on Kubernetes
Language: Python - Size: 1.9 MB - Last synced at: about 4 hours ago - Pushed at: about 6 hours ago - Stars: 38 - Forks: 45
scicloj/scicloj.ml
A Clojure machine learning library
Language: Clojure - Size: 5.08 MB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 236 - Forks: 16
Nike1-1/automl
βοΈ Automate machine learning tasks in-browser or with Node.js, utilizing efficient algorithms for regression and classification with minimal setup.
Language: JavaScript - Size: 3.62 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
mwasifanwar/AutoML-Genius
Next-generation automated machine learning that not only trains models but also explains them, optimizes hyperparameters, and generates deployment code.
Language: Python - Size: 38.1 KB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
mlr-org/bbotk
Black-box optimization framework for R.
Language: R - Size: 24.4 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 24 - Forks: 10
jamiee9604/special
π₯ Extract and organize AV metadata from multiple sites, streamlining your media library for software like Emby, Jellyfin, and Kodi.
Language: Python - Size: 8.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0
Viswajith-Coder/automl
π€ Automate machine learning tasks locally in the browser or on a server with this easy-to-use, zero-setup library for regression and classification.
Language: JavaScript - Size: 3.62 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
Karthickr28/EasyVisa-Visa-Approval-Prediction-Using-Machine-Learning
Built a machine learning model to predict visa approval outcomes using real-world immigration data. Applied EDA, feature engineering, and ensemble models (Random Forest, XGBoost) to uncover factors influencing visa decisions and streamline the OFLC review process.
Language: Jupyter Notebook - Size: 8.22 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
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: 184 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 10,470 - Forks: 787
ytopt-team/ytopt
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
Language: C - Size: 97.7 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 50 - Forks: 18
optuna/optuna-mcp
The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.
Language: Python - Size: 5.05 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 64 - Forks: 19
optuna/optuna
A hyperparameter optimization framework
Language: Python - Size: 21.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 12,941 - Forks: 1,183
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: 559 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
bharathgs/Awesome-Distributed-Deep-Learning
A curated list of awesome Distributed Deep Learning resources.
Size: 53.7 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 432 - Forks: 85
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: 2 days ago - Pushed at: 8 months ago - Stars: 3,192 - Forks: 370
mwasifanwar/ml-ensemble-regression
Advanced regression analysis suite featuring KNN optimization, multi-algorithm comparison, hyperparameter tuning with Optuna, and production-ready ML pipelines with comprehensive model evaluation and visualization.
Language: Python - Size: 27.3 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
Language: TypeScript - Size: 19.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 693 - Forks: 108
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: 6 days ago - Pushed at: over 4 years ago - Stars: 853 - Forks: 158
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: 528 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 15 - Forks: 1
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: 61.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 836 - Forks: 66
Flamimods/articles_project
π Parse articles from Habr, Proglib, and vc.ru into a unified Markdown format for easy access and readability.
Language: Python - Size: 1.3 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0
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: over 1 year ago - Stars: 14,287 - Forks: 1,834
kiudee/chess-tuning-tools
A collection of scripts aimed at efficiently tuning chess engine parameters.
Language: Python - Size: 1.07 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 56 - Forks: 14
plandes/datdesc
Describe and optimize data
Language: Python - Size: 451 KB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Size: 121 MB - Last synced at: 6 days ago - Pushed at: 12 days ago - Stars: 3,683 - Forks: 324
kiudee/bayes-skopt
A fully Bayesian implementation of sequential model-based optimization
Language: Python - Size: 6.82 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 42 - Forks: 7
Adeemy/end-to-end-ml
End-to-end ML project for tabular data.
Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 8 days ago - Pushed at: 16 days ago - Stars: 7,981 - Forks: 1,310
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: 7 days ago - Pushed at: 9 months ago - Stars: 244 - Forks: 33
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Language: Python - Size: 4.72 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 1,604 - Forks: 106
rick12000/confopt
A Library for Conformal Hyperparameter Tuning
Language: Python - Size: 1.68 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 102 - Forks: 5
bofengb/llm-based-text-summarization-using-BART-and-T5
Fine-tuned BART and T5 transformer models on the CNN/Daily Mail dataset using Hugging Face and PyTorch to build an efficient abstractive text summarization pipeline with advanced fine-tuning, evaluation, and visualization tools.
Language: Jupyter Notebook - Size: 674 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 87.7 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 10,006 - Forks: 1,578
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python - Size: 31.2 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 528 - Forks: 51
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Language: Python - Size: 22.3 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 9,514 - Forks: 1,072
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: 10 days ago - Stars: 416 - Forks: 57
automl/HpBandSter
a distributed Hyperband implementation on Steroids
Language: Python - Size: 7.17 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 625 - Forks: 108
automl/HPOBench
Collection of hyperparameter optimization benchmark problems
Language: Python - Size: 741 KB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 155 - Forks: 37
kruize/autotune
Autonomous Performance Tuning for Kubernetes!
Language: Java - Size: 9.69 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 225 - Forks: 60
automl/neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Language: Python - Size: 27 MB - Last synced at: about 6 hours ago - Pushed at: about 8 hours ago - Stars: 78 - Forks: 19
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: 6 days ago - Pushed at: 4 months ago - Stars: 1,358 - Forks: 412
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 154 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1,201 - Forks: 239
deephyper/deephyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
Language: Python - Size: 44.6 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 301 - Forks: 62
amore-labs/gama
An automated machine learning tool aimed to facilitate AutoML research.
Language: Python - Size: 133 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 102 - Forks: 28
rnburn/bbai
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
Language: Python - Size: 1.22 GB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 63 - Forks: 2
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
Language: Python - Size: 4.1 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 802 - Forks: 189
sile/tpe
A TPE (Tree-structured Parzen Estimator) implementation in Rust
Language: Rust - Size: 54.7 KB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 31 - Forks: 7
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language: Python - Size: 758 KB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 2,176 - Forks: 318
Daraan/ray_utilities
ray & RLlib tools for unified code across different repositories. Experiments with dynamic hyperparameters
Language: Python - Size: 1.45 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 6 - Forks: 0
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: 8.08 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 40 - Forks: 8
IBM/lale
Library for Semi-Automated Data Science
Language: Python - Size: 40.9 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 345 - Forks: 84
filipsPL/optuml
Optuna-optimized ML methods, with scikit-learn like API
Language: Python - Size: 70.3 KB - Last synced at: 5 days ago - Pushed at: 18 days ago - Stars: 2 - Forks: 0
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
Language: Python - Size: 225 MB - Last synced at: 8 days ago - Pushed at: 20 days ago - Stars: 697 - Forks: 88
Qentora/quoptuna
Quoptuna is a Python package supporting over 20 quantum machine learning models using PennyLane. These models include classifiers, neural networks, and kernel-based approaches. Quoptuna integrates seamlessly with quantum simulators, enabling model evaluation without requiring quantum hardware.
Language: Python - Size: 5.06 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Language: Python - Size: 13.8 MB - Last synced at: about 1 hour ago - Pushed at: about 1 year ago - Stars: 125 - Forks: 30
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: 3.83 MB - Last synced at: 22 days ago - Pushed at: 2 months ago - Stars: 2,577 - Forks: 569
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
Language: R - Size: 13.8 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 26 - Forks: 1
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: 7 days ago - Pushed at: about 1 year ago - Stars: 96 - Forks: 16
ISG-Siegen/lenskit-auto
An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.
Language: Python - Size: 2.67 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 1
thieu1995/MetaSklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
Language: Python - Size: 137 KB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0
DrChainsaw/NaiveNASlib.jl
Relentless mutation!!
Language: Julia - Size: 3.84 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 18 - Forks: 1
DrChainsaw/NaiveNASflux.jl
Your local Flux surgeon
Language: Julia - Size: 1.05 MB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 25 - Forks: 0
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: 26 days ago - Pushed at: about 1 year ago - Stars: 27,058 - Forks: 4,792
TUM-DAML/seml
SEML: Slurm Experiment Management Library
Language: Python - Size: 1.51 MB - Last synced at: 12 days ago - Pushed at: 5 months ago - Stars: 184 - Forks: 34
microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Language: Python - Size: 48.3 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 481 - Forks: 92
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
Language: Python - Size: 1.93 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 2,906 - Forks: 402
Nihar3453/Deep-Learning
A comprehensive collection of foundational Deep Learning projects and experiments, covering manual implementation of the Perceptron and Backpropagation (NumPy) to advanced applications like MLP/CNN image classifiers and LSTM time-series prediction (Keras/TensorFlow).
Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
avaneev/biteopt
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Language: C++ - Size: 3.34 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 162 - Forks: 11
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: over 1 year ago - Stars: 4,115 - Forks: 685
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
Language: Python - Size: 49.2 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 299 - Forks: 51
sibirbil/marsopt
Mixed Adaptive Random Search (MARS) for Optimization
Language: Python - Size: 41 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 30 - Forks: 2
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: 14 days ago - Pushed at: about 2 years ago - Stars: 234 - Forks: 37
openmole/mgo
Purely functional genetic algorithms for multi-objective optimisation
Language: Scala - Size: 3.33 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 72 - Forks: 5
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Language: Python - Size: 1.38 MB - Last synced at: 6 days ago - Pushed at: over 4 years ago - Stars: 1,654 - Forks: 312
avacaondata/nlpboost
Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.
Language: Python - Size: 4.14 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 3
Neuraxio/Neuraxle
The world's cleanest AutoML library β¨ - 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: 27 days ago - Pushed at: 6 months ago - Stars: 613 - Forks: 63
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: 30 days ago - Pushed at: 30 days ago - Stars: 1,245 - Forks: 93
aminshennan/Sentiment-Analysis-of-Women-s-Clothing-E-Commerce-Reviews-Using-Machine-Learning
Multi-architecture sentiment analysis (LSTM, CNN, FNN) with GloVe embeddings and Bayesian hyperparameter optimization. Comprehensive evaluation of e-commerce review classification with F1-score metrics.
Language: Jupyter Notebook - Size: 4.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
david-thrower/cerebros-core-algorithm-alpha
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Language: Jupyter Notebook - Size: 63.5 MB - Last synced at: about 10 hours ago - Pushed at: about 12 hours ago - Stars: 27 - Forks: 5
scikit-optimize/scikit-optimize π¦
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 8.99 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2,794 - Forks: 555
BNTechie/Predictive-modeling
Credit card fraud detection, Breast cancer prediction, Wine quality prediction, Bank note authentication, prediction of attrition of employees, Stock prediction, etc
Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
sambo-optimization/sambo
π― π Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No depsβSOTA perfomance.
Language: Python - Size: 144 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 24 - Forks: 0
mlr-org/mlr3tuning
Hyperparameter optimization package of the mlr3 ecosystem
Language: R - Size: 11.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 59 - Forks: 8
MetaEvo/MetaBox
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
Language: Python - Size: 438 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 148 - Forks: 15
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
Language: Python - Size: 3.07 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 1,638 - Forks: 268
leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Language: Python - Size: 2.85 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 343 - Forks: 29
krish567366/automl_self_improvement
A next-gen toolkit for autonomous machine learning that automatically optimizes models using reinforcement learning, evolutionary algorithms, and generative AI. Combines meta-learning for cross-task adaptation, hybrid hyperparameter tuning, and secure MLOps to accelerate AI deployment.
Language: Python - Size: 33.2 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
PaPJoIN/supervised-learning-class-dropout
Evaluating student demographics, engagement and performance metrics for predicting dropout likelihood using supervised learning - Neural Networks & Decision Trees.
Size: 1.36 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
Language: Python - Size: 403 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 448 - Forks: 71
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: about 2 months ago - Pushed at: over 1 year ago - Stars: 784 - Forks: 115
jijeongwon/2024.11-KAICTS_Optimizing_Healthcare_premium_Prediction_with_Synthetic_data
2024 νκ΅μΈκ³΅μ§λ₯μ΅ν©κΈ°μ νν μΆκ³νμ λνμ μ μΆν λ Όλ¬Έμ λν μ°κ΅¬ λ΄μ©μ λλ€.
Language: Jupyter Notebook - Size: 975 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Language: Python - Size: 124 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 348 - Forks: 90
polyaxon/cli
Polyaxon Core Client & CLI to streamline MLOps
Language: Python - Size: 4.59 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 19 - Forks: 18
nestordemeure/Simplers
Rust implementation of the Simple(x) Global Optimization algorithm
Language: Rust - Size: 79.1 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 33 - Forks: 4
GPflow/GPflowOpt
Bayesian Optimization using GPflow
Language: Python - Size: 3.35 MB - Last synced at: 9 days ago - Pushed at: almost 5 years ago - Stars: 272 - Forks: 60
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: about 1 month ago - Pushed at: 3 months ago - Stars: 265 - Forks: 40
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: 215 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 85 - Forks: 7
kapsner/mlexperiments
An extensible framework for reproducible machine learning experiments
Language: R - Size: 698 KB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 5 - Forks: 2
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: about 1 month ago - Pushed at: almost 4 years ago - Stars: 63 - Forks: 28
