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

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

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

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

This repository houses a diverse collection of projects developed using Jupyter Notebooks, focusing on testing various machine learning pipelines, neural network models, and statistical machine learning approaches. Through exploration of different datasets, the projects delve into predictive modeling, classification tasks, and in-depth analyses.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Machine Learning Toolbox 2

EvalML is an AutoML library written in python.

Automated Machine Learning on Kubernetes

Bayesian optimization using Gaussian Process regression (Python)

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.

Predict a binary outcome (diagnosis) via support vector machine

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.

This repository will have all the necessary tutorials to help you learn Data Science, Machine Learning, Deep Learning and AI fundamentals

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

Spotify Classification Problem 2023

Additional stoppers for ray tune

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

The main objective of this project is to develop a machine learning model to predict whether videos reported by users presented claims or opinions to improve triaging process of videos for further review by human moderators.

Sentiment Analysis using Machine Learning