hyperparameters
There are 112 repositories under hyperparameters topic.
tobegit3hub/advisor
Open-source implementation of Google Vizier for hyper parameters tuning
araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
MaurizioFD/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
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.
zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
gyrdym/ml_algo
Machine learning algorithms in Dart programming language
MattKleinsmith/pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
openmole/openmole
Workflow engine for exploration of simulation models using high throughput computing
PetrochukM/HParams
Configure Python functions explicitly and safely
MLBazaar/MLBlocks
A library for composing end-to-end tunable machine learning pipelines.
seba-1511/randopt
Streamlined machine learning experiment management.
clintonreece/keras-cloud-ml-engine
Adventures using keras on Google's Cloud ML Engine
joydeepmedhi/Anchor-Boxes-with-KMeans
How to initialize Anchors in Faster RCNN for custom dataset?
automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
KennethanCeyer/awesome-llm
Awesome series for Large Language Model(LLM)s
openmole/mgo
Purely functional genetic algorithms for multi-objective optimisation
atanasster/hyperparameters
ES6 hyperparameters search for tfjs
KSpiliop/Fraud_Detection
Tuning XGBoost hyper-parameters with Simulated Annealing
guybedo/minos
Deep learning, architecture and hyper parameters search with genetic algorithms
keplr-io/picard
Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
JohnNay/forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
eBay/AutoOpt
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
FluxML/ParameterSchedulers.jl
Common hyperparameter scheduling for ML
himkt/allennlp-optuna
⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy
eHarmony/spotz
Spark Parameter Optimization and Tuning
Minyus/optkeras
OptKeras: wrapper around Keras and Optuna for hyperparameter optimization
mlr-org/paradox
ParamHelpers Next Generation
ksachdeva/scikit-nni
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
ahirsharan/MTL-Segmentation
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
reiase/hyperparameter
Hyperparameter, Make configurable AI applications.Build for Python hackers.
Octavian-ai/learning-rates
How optimizer and learning rate choice affects training performance
bbopt/HyperNOMAD
A library for the hyperparameter optimization of deep neural networks
andreacasalino/GaussianProcesses
Modern C++ library handling gaussian processes
rohan-varma/neuralnets
🤖 bare-bones implementation of a neural network with numpy
neptune-ai/neptune-optuna
🚀 Optuna visualization dashboard that lets you log and monitor hyperparameter sweep live.