For Kaggle notebooks and scripts
Write it here.
Train it on Kaggle’s GPUs.
Caudex Studio is a browser workspace for notebooks and scripts. Press Run and it pushes your code to Kaggle, streams the log while the model trains, and hands you the checkpoints when it’s done.
Nothing to install. It runs on your own Kaggle account and its weekly GPU hours.
Features
Everything between an idea and a trained checkpoint
The whole Kaggle loop, from edit to push to watch to download, in one tab.
Scripts and notebooks, edited in place
Write a .py file or work cell by cell in an .ipynb, with Python highlighting, autosave and Ctrl+S. A template’s settings cell shows up as a simple form.
Run on Kaggle in one click
Choose CPU, a T4 or P100 GPU, or a TPU, then press Run. Your code goes to Kaggle as a new notebook version; nothing trains on your laptop.
The log, while it trains
Kaggle’s log streams into the page as it is written. Lose the connection and it resumes where it stopped, without repeating a line.
Outputs, straight from Kaggle
Checkpoints, metrics and plots are listed by folder with their real sizes, and download directly from Kaggle, even a 191 MB best.pt.
Your datasets, attached
Search Kaggle for a dataset and attach it to a project. It is mounted under /kaggle/input when the run starts.
Quota and history at a glance
See how many GPU and TPU hours are left this week, and every past run with its status, log and outputs.
How it works
From sign-in to best.pt in three steps
No install, no CUDA and no machine of your own. Three steps, and the third is a button.
- Step 1
Sign in and connect Kaggle
Sign in with Google or GitHub. Then, on kaggle.com, open Settings → API, create a legacy API key and paste the kaggle.json it downloads.
{ "username": "you", "key": "••••••••" } - Step 2
Pick a template, attach your data
Start blank or from a template (Auspex, YOLO, ResNet, HRNet or SAM), attach a Kaggle dataset, and set the epochs and image size in the settings form.
auspex-rt · GPU (T4) · /kaggle/input/street-signs - Step 3
Run, watch, download
Press Run on Kaggle, follow the log as the model trains, then download best.pt from Outputs.
runs/rt-run1/best.pt · 191 MB ↓
Templates
Eight models that already train
Boxes, masks, keypoints, polylines, tags and classification. Each one installs its own pinned packages, finds your dataset whatever the export looks like, and keeps training across sessions until the epochs you asked for are done.
See what each one trainsSecurity
Your Kaggle key stays yours
Checked with Kaggle once, then encrypted with AES-256-GCM before it is stored, with the secret kept apart from the database. Revoke it on Kaggle and it stops working here the same minute.
What it does with your keyPricing
Free for 7 days, then one plan
$5 a month by card, or ৳650 for 30 days by bKash, Nagad or Rocket. No card to start. Kaggle’s GPU hours stay free — the plan pays for Caudex Studio, not for Kaggle.
What is includedSomething still unclear? The questions people ask covers costs, hardware, where projects live and what happens when a plan ends.
Your next training run is one click away.
Sign in with Google or GitHub, connect your Kaggle account, pick a template and press Run.