raytune
There are 7 repositories under raytune topic.
JayAhn0104/Recommender-System-PyTorch
Recommendation Model Implementation by using PyTorch
MarcSpeckmann/Meta-Learning-Using-Prior-Data-to-Warmstart-Optimization
Under this problem setup, the goal is to leverage existing configuration data to make the overall optimization process as efficient as possible.
windsuzu/Titanic-Machine-Learning-and-Deep-Learning
We use the Titanic dataset to implement machine learning and deep learning. Preprocessing data, visualizing, building models, and ensembling are practiced in the ML section; PyTorch basics, PyTorchLightning framework, and RayTune hyperparameter-tuning are in the DL section.
EsosaOrumwese/Msc_Research_Project_Multi-Task-Learning_CNN-GRU-biLSTM
This project is part of my Master's thesis for the MSc in Data Science with Artificial Intelligence program at the University of Exeter. It implements a multi-task deep learning model for simultaneous driver identification and transport mode classification using smartphone sensor data from the SHL preview dataset.
Mainakdeb/ray-tune-ignite-experiments
Simple example of hyperparameter optimization using Raytune (with PyTorch ignite)
oaoni/raytuneLSF
Python wrapper for starting distributed Ray clusters with LSF job submission
Shivanshu-Gupta/raytune-comet-examples
Examples scripts demonstrating raytune and comet-ml usage.