Agentarium

Potato is an AI-driven scientific operating system for life sciences. It helps researchers design and execute experiments by synthesizing literature and generating lab protocols. Potato supports computational analyses, data workflows, and parallel experimental variations. It accelerates scientific execution for individual researchers, teams, and large organizations.

awesome-quantum-machine-learning is a curated list of quantum machine learning algorithms, study materials, libraries, and software. It provides resources for learning the basics of quantum machine learning. The list includes algorithms, study materials, projects, and descriptions of projects around the web.

vowpal_wabbit is a machine learning system designed to push the frontier of machine learning. It incorporates techniques such as online learning and hashing. The system also supports reductions, learning2search, active, and interactive learning. It is available as an open-source tool.

SegLossOdyssey is a collection of loss functions for medical image segmentation. It provides various loss functions to improve the accuracy of image segmentation tasks. The tool is open-source and designed for researchers and practitioners in the field of medical imaging.

flow-forecast is a deep learning PyTorch library for time series forecasting, classification, and anomaly detection. Originally designed for flood forecasting, it provides state-of-the-art models like transformers, attention models, and GRUs. It offers interpretability metrics, cloud provider integration, and model serving capabilities.

advanced_lane_detection is a computer vision project for detecting lanes in images. It utilizes techniques from the Udacity Self-Driving Car Nanodegree program. The project involves camera calibration, distortion correction, and lane identification. It is suitable for those learning or working on autonomous vehicle technology.