SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Hyperparameter optimization package of the mlr3 ecosystem

Black-box optimization framework for R.

Example ML projects that use the Determined library.

Automated Machine Learning on Kubernetes

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

[ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

A Simplilearn class project practicing machine learning classification algorithms.

Library for automatic retraining and continual learning

Pre-trained Gaussian processes for Bayesian optimization

EvalML is an AutoML library written in python.

A super simplistic way to perform hyperparameter tuning (and other things!) on SLURM. Made to be quick and easy to use and build on! and to get your jobs done faster.

Predicting employee salaries based on job type, degree, major, industry, years of experience, and distance from a metropolis using machine learning techniques.

Bayesian optimization using Gaussian Process regression (Python)

A summative coursework for CSC8635 Machine Learning with Project

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.