Refrakt: Train and evaluate your CV models without writing any code.

hello everyone!

i have been building Refrakt for the past few months, a workflow for training and evaluating computer vision models.

deep learning models today are fragmented:

• training usually lives in one place,

• evaluation lives somewhere else,

• and explainability is usually considered last.

Refrakt is a unified platform that brings all of these elements into a single system.

You can play with Refrakt right now: https://demo.akshath.tech/

i've put together a walkthrough video where you can understand more about it: Refrakt: A Unified Platform for Deep Learning Workflows

if you would like to wait for the full platform access: Refrakt

if you would like to run your own configuration for training, follow this format in the demo:

model: resnet18 (more models coming soon)
dataset:
    source: torchvision (only torchvision models supported right now)
    name: CIFAR10 (or MNSIT)
mode: train
device: auto
setup: quick (for 2 epochs, or 5 for full training)

i would love your thoughts and gather your feedback so that refrakt can be a better product for people to use.