hyperparameter

Sequential model-based optimization with a `scipy.optimize` interface

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"

Hyperparameters-Optimization

Tools for Optuna, MLflow and the integration of both.

Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"

A dl management front end

Deep Learning Specialization. Master Deep Learning, and Break into AI

Some experiments to empirically analyze how the parameters of LWE impact the correctness of the algorithm on a single bit.

Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.

Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.

Cross-validation in Julia

Hyper-Parameter Analyzer

This repository Consist of Course Material, Assignment And Quizes Attempted in Specialization Course by Coursera

Distributed Asynchronous Hyperparameter Optimization in Python

Assignment titled "A Brief Review of Hyperparameter Optimization Methods for Machine Learning" for Research Methods in Computer Science course at Ryerson University

Presentation titled "A Brief Review of Hyperparameter Optimization Methods for Machine Learning" for Research Methods in Computer Science course at Ryerson University

Kaggle news popularity prediction competition

Experiment with different optimizer, layers, filters, regularization for Y-Net(CNN) with CIFAR 10 and CIFAR 100 dataset

A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).

Hyper-parameter tuner (for computer vision and reinforcement learning)