Topic: "hyperparameter-tuning"
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: 7 days ago - Pushed at: over 1 year ago - Stars: 14,287 - Forks: 1,834
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
skypilot-org/skypilot
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
Language: Python - Size: 201 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 8,873 - Forks: 825
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
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: 4 months ago - Pushed at: 4 months ago - Stars: 3,791 - Forks: 2,535
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: 1 day ago - Pushed at: 8 months ago - Stars: 3,192 - Forks: 370
scikit-optimize/scikit-optimize 📦
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
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: 21 days ago - Pushed at: 2 months ago - Stars: 2,577 - Forks: 569
kubeflow/katib
Automated Machine Learning on Kubernetes
Language: Python - Size: 101 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,635 - Forks: 488
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: 7 days ago - Pushed at: 9 days ago - Stars: 1,604 - Forks: 106
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: 5 months ago - Pushed at: about 3 years ago - Stars: 1,293 - Forks: 304
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 154 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1,201 - Forks: 239
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: about 3 years ago - Stars: 1,182 - Forks: 209
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: 5 days ago - Pushed at: 5 days ago - Stars: 836 - Forks: 66
alteryx/evalml
EvalML is an AutoML library written in python.
Language: Python - Size: 16.3 MB - Last synced at: 3 days ago - Pushed at: 10 days ago - Stars: 831 - Forks: 91
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 1 month ago - Pushed at: over 1 year ago - Stars: 784 - Forks: 115
onepanelio/onepanel
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
Language: Go - Size: 29.4 MB - Last synced at: about 19 hours ago - Pushed at: over 2 years ago - Stars: 730 - Forks: 72
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: 2 months ago - Pushed at: almost 5 years ago - Stars: 708 - Forks: 101
Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Language: Jupyter Notebook - Size: 5.43 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 629 - Forks: 112
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: 26 days ago - Pushed at: 6 months ago - Stars: 613 - Forks: 63
zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
Language: Python - Size: 370 KB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 593 - Forks: 72
BCG-X-Official/facet
Human-explainable AI.
Language: Jupyter Notebook - Size: 53.1 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 525 - Forks: 47
ray-project/tune-sklearn 📦
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Language: Python - Size: 13.8 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 469 - Forks: 51
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 419 - Forks: 48
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Language: Python - Size: 10.9 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 416 - Forks: 57
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
sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Language: JavaScript - Size: 5.57 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 341 - Forks: 53
WarBean/hyperboard
A web-based dashboard for Deep Learning
Language: JavaScript - Size: 396 KB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 336 - Forks: 73
awslabs/Renate
Library for automatic retraining and continual learning
Language: Python - Size: 6.58 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 297 - Forks: 6
awslabs/adatune
Gradient based Hyperparameter Tuning library in PyTorch
Language: Python - Size: 979 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 290 - Forks: 32
ppant/deeplearning.ai-notes
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Language: Jupyter Notebook - Size: 42.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 284 - Forks: 158
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
lettergram/sentence-classification
Sentence Classifications with Neural Networks
Language: Python - Size: 105 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 237 - Forks: 35
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: 4 months ago - Pushed at: about 2 years ago - Stars: 233 - Forks: 45
jsingh811/pyAudioProcessing
Audio feature extraction and classification
Language: Python - Size: 22.9 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 227 - Forks: 41
Mattdl/CLsurvey
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
Language: Python - Size: 165 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 203 - Forks: 24
LGE-ARC-AdvancedAI/auptimizer
An automatic ML model optimization tool.
Language: Python - Size: 52.1 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 200 - Forks: 28
MattKleinsmith/pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Language: Python - Size: 120 KB - Last synced at: 8 months ago - Pushed at: almost 8 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: 9 days ago - Pushed at: almost 7 years ago - Stars: 155 - Forks: 25
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Language: Python - Size: 13.8 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 125 - Forks: 30
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: 7 months ago - Pushed at: over 7 years ago - Stars: 106 - Forks: 76
rick12000/confopt
A Library for Conformal Hyperparameter Tuning
Language: Python - Size: 1.68 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 102 - Forks: 5
google-research/hyperbo
Pre-trained Gaussian processes for Bayesian optimization
Language: Python - Size: 194 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 91 - Forks: 8
logicalclocks/maggy
Distribution transparent Machine Learning experiments on Apache Spark
Language: Python - Size: 5.74 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 91 - Forks: 14
ML-GSAI/Scaling-Diffusion-Transformers-muP
Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".
Language: Python - Size: 5.6 MB - Last synced at: about 14 hours ago - Pushed at: about 16 hours ago - Stars: 90 - Forks: 1
gmontamat/gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Language: Python - Size: 622 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 89 - Forks: 19
layerai-archive/sdk 📦
Metadata store for Production ML
Language: Python - Size: 2.22 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 88 - Forks: 6
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
thomas-young-2013/open-box
Generalized and Efficient Blackbox Optimization System.
Language: Python - Size: 32.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 83 - Forks: 85
evhub/bbopt
Black box hyperparameter optimization made easy.
Language: Python - Size: 1.22 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 75 - Forks: 8
Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
Language: Jupyter Notebook - Size: 208 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 74 - Forks: 54
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
MLBazaar/MLPrimitives
Primitives for machine learning and data science.
Language: Python - Size: 9.98 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 72 - Forks: 38
BenChaliah/TimeSeriesGAN
GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 70 - Forks: 4
thuijskens/scikit-hyperband
A scikit-learn compatible implementation of hyperband
Language: Python - Size: 5.42 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 70 - Forks: 16
pabaq/Coursera-Deep-Learning-Specialization
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
Language: Jupyter Notebook - Size: 326 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 19
MLopez-Ibanez/irace
Iterated Racing for Automatic Algorithm Configuration
Language: R - Size: 27.4 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 66 - Forks: 17
jia-zhuang/xgboost-lightgbm-hyperparameter-tuning
Bayesian Optimization and Grid Search for xgboost/lightgbm
Language: Python - Size: 5.86 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 66 - Forks: 15
polyaxon/hypertune
A library for performing hyperparameter optimization
Language: Python - Size: 118 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 63 - Forks: 9
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
mlr-org/mlr3tuning
Hyperparameter optimization package of the mlr3 ecosystem
Language: R - Size: 11.5 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 59 - Forks: 8
ahsan-83/Deep-Learning-Specialization-Coursera
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
Language: Jupyter Notebook - Size: 160 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 53 - Forks: 19
gmortuza/Deep-Learning-Specialization
This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
Language: Jupyter Notebook - Size: 198 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 53 - Forks: 30
PacktWorkshops/The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Language: Jupyter Notebook - Size: 229 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 51 - Forks: 91
dc-aichara/DS-ML-Public
Python Scripts and Jupyter Notebooks
Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 51 - Forks: 38
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
ssisOneTeam/Korean-Embedding-Model-Performance-Benchmark-for-Retriever
Korean Sentence Embedding Model Performance Benchmark for RAG
Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 46 - Forks: 4
YuchenJin/autolrs
Automatic learning-rate scheduler
Language: Python - Size: 4.21 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 46 - Forks: 9
VicentePerezSoloviev/EDAspy
Estimation of Distribution algorithms Python package
Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 9
balavenkatesh3322/hyperparameter_tuning
A collection of Hyper parameter tuning library.
Size: 63.5 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 41 - Forks: 7
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
zmyzheng/Neural-Networks-and-Deep-Learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
Language: Jupyter Notebook - Size: 662 MB - Last synced at: 6 months ago - Pushed at: about 7 years ago - Stars: 40 - Forks: 13
fugue-project/tune
An abstraction layer for parameter tuning
Language: Python - Size: 414 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 35 - Forks: 3
Jamie1377/STA410
A statistical computations and ML orientated Python package to predict stock price.
Language: Jupyter Notebook - Size: 34.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 34 - Forks: 2
EagerAI/kerastuneR
R interface to Keras Tuner
Language: R - Size: 66.2 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 34 - Forks: 6
machinelearningnuremberg/QuickTune
[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Language: Python - Size: 5.86 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 33 - Forks: 4
Cavendish518/LE-Nav
This work investigates automatic hyperparameter tuning for planners such as DWA and TEB, and our navigation framework LE-Nav can be used to adjust hyperparameters of any optimization-based planner.
Language: Python - Size: 18.7 MB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 32 - Forks: 1
Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 32 - Forks: 9
determined-ai/determined-examples
Example ML projects that use the Determined library.
Language: Python - Size: 2.73 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 32 - Forks: 3
eHarmony/spotz
Spark Parameter Optimization and Tuning
Language: Scala - Size: 227 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 31 - Forks: 8
sibirbil/marsopt
Mixed Adaptive Random Search (MARS) for Optimization
Language: Python - Size: 41 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 30 - Forks: 2
oskar-j/awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
Size: 25.4 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 8
ISG-Siegen/Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
Language: Python - Size: 181 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 2
ConsBiol-unibern/SDMtune
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
Language: R - Size: 203 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 27 - Forks: 10
PhilipMay/mltb 📦
Machine Learning Tool Box
Language: Python - Size: 135 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 27 - Forks: 9
amzn/differential-privacy-bayesian-optimization 📦
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Language: Python - Size: 7.37 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 27 - Forks: 15
ChristophAlt/tuna
Hyperparameter search for AllenNLP - powered by Ray TUNE
Language: Python - Size: 43.9 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 27 - Forks: 2
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
Language: R - Size: 13.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 26 - Forks: 1
XAheli/Predicting-Indian-Stocks-Price-with-Stacked-LSTM
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 26 - Forks: 5
mlr-org/bbotk
Black-box optimization framework for R.
Language: R - Size: 24.4 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 24 - Forks: 10
sambo-optimization/sambo
🎯 📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—SOTA perfomance.
Language: Python - Size: 144 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 24 - Forks: 0
medoidai/skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Language: Python - Size: 47.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 2
JayThibs/map-floodwater-satellite-imagery
This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
Language: Jupyter Notebook - Size: 105 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 24 - Forks: 4
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: 4 months ago - Pushed at: 4 months ago - Stars: 23 - Forks: 0
grailbio/diviner
Diviner is a serverless machine learning and hyper parameter tuning platform
Language: Go - Size: 254 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 23 - Forks: 2
michael-cummins/DeePC-Hunt
[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
Language: Python - Size: 26.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 22 - Forks: 2
nf-core/drugresponseeval
Pipeline for testing drug response prediction models in a statistically and biologically sound way.
Language: Nextflow - Size: 7.62 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 22 - Forks: 5
Yard1/hpbandster-sklearn
A scikit-learn wrapper for HpBandSter hyper parameter search.
Language: Python - Size: 125 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 22 - Forks: 2
holgern/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 19.8 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2
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: 7 days ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 3
