We need "Agile" in machine learning

It’s time for a non-linear, iterative approach that builds highly performant vision AI applications.

Accessing Model Playground

Hasty provides a no-code solution to train models that solves a variety of tasks ranging from semantic segmentation to object detection. For further …

Attribute Prediction

Sample inference script for torchscript exported image-tagger. The following sample code should be run from the export directory: import torch import …

AWS Sagemaker vs. Hasty

This text is an in-depth comparison of Hasty and AWS Sagemaker going through function by function so that you can make the best possible buying …

Challenges of Deployment

A few of the challenges most teams usually run into during the deployment stage: 1. Differences in programming languages The machine learning model …

Classification

Sample inference script for exported torchscript image classifier The following sample code should be run from the export directory: import torch …

Commonly used web frameworks

Flask is an open-source lightweight web framework built in Python to deploy web applications. To begin using Flask, we must first install it on our …

Containerized Deployment

Previously explained frameworks should be running well on your machine, but you might run into issues when you try to deploy to another environment …

Deploy

Deploy dashboard The Deploy option in the Deploy & export page allows you to choose a model from the available experiments to choose as the …

Image-Tagging

Sample inference script for torchscript exported image-tagger. The following script should be run from the model export directory: import torch …

Instance Segmentation

Sample inference script for torchscript exported instance segmentation model Mask RCNN code example import torch import numpy as np from PIL import …

Machine learning IRL - 9th of Feb 2022

Everyone is talking about applying ML to real-world use cases, but there’s very little sharing between teams actually doing the implementation. We …