ModelDepot alternatives

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can track, compare, explain and reproduce their machine learning experiments.

PerceptiLabs is a drag and drop visual modeling tool to build, train and tune your ML model, with a portal to actually see how your model works.

An exclusive opportunity for data scientists to improve their propensity models with ML-ready network-powered Signals. These Signals provide cross-industry insights and are easily appended to your datasets to create more powerful models, quicker.

Dioptra diagnoses your model to identify failure modes like bias and drift; and uses active learning techniques to curate the best data to fix it.

Deepkit is the first collaborative and analytical training suite for insightful, fast, and reproducible modern machine learning as desktop app. Track and execute AI experiments, debug models (TF/Pytorch), and manage computation servers in one app.

Machine Learn-er Cat or Dog predictor mobile app.

chitra (चित्र) is a Deep Learning library for Model Building, Explainable AI, Data Visualization, API Building & Deployment. Easily create UI for Machine Learning models or Rest API backend that can be deployed for serving ML Models in Production.