hyperparameters

Open-source implementation of Google Vizier for hyper parameters tuning

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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.

Tuning hyperparams fast with Hyperband

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

Workflow engine for exploration of simulation models using high throughput computing

A thoughtful approach to hyperparameter management.

Streamlined machine learning experiment management.

Adventures using keras on Google's Cloud ML Engine

Machine learning algorithms in Dart programming language

How to initialize Anchors in Faster RCNN for custom dataset?

Purely functional genetic algorithms for multi-objective optimisation

Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.

ES6 hyperparameters search for tfjs

Deep learning, architecture and hyper parameters search with genetic algorithms

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

Tuning XGBoost hyper-parameters with Simulated Annealing

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Spark Parameter Optimization and Tuning

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

ParamHelpers Next Generation

How optimizer and learning rate choice affects training performance

🤖 bare-bones implementation of a neural network with numpy

Common hyperparameter scheduling for ML

Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle