Sagify

Sagify is for those who want to train and deploy machine learning models without the hassle of configuring cloud instances or dealing with infrastructure pain. With Sagify, you can easily train and deploy your models without the need for a software engineer. The installation process is straightforward, and you can get started with no-code deployment or custom training and deployment. The steps are easy to follow, and you can have your model up and running in no time. Sagify also offers hyperparameter optimization, which allows you to define a hyperparameter configuration file, implement the train function, build and push the Docker image, and monitor progress. If you're looking to monitor your ML models in production, Sagify has got you covered with Superwise. With Superwise, you can create an account, add your model, initialize Sagify, download the Iris data set, implement the training and prediction logic, build and train the ML model, and call the inference REST API. And if you're looking for a way to track your model's performance, Aporia is the perfect solution. With Aporia, you can create an account, connect your model, and start tracking your model's performance. Don't waste any more time configuring cloud instances or dealing with infrastructure pain.