Managing Data Science Projects with Jovian
Jovian is a platform that helps data scientists and ML engineers
- track & reproduce data science projects
- collaborate easily with friends/colleagues, and
- automate repetitive tasks in their day-to-day workflow.
Uploading your work to Jovian
It's really easy to get started with Jovian!
To follow along with this tutorial, click the 'Run' button above
or Click Here to start a Jupyter notebook server (hosted by mybinder.org)
Step 1: Install the jovian
python library
You can do this from the terminal, or directly within a Jupyter notebook.
PyTorch Basics: Tensors & Gradients
Part 1 of "Pytorch: Zero to GANs"
This post is the first in a series of tutorials on building deep learning models with PyTorch, an open source neural networks library developed and maintained by Facebook. Check out the full series:
PyTorch Basics: Tensors & Gradients
Linear Regression & Gradient Descent
Image Classfication using Logistic Regression
Training Deep Neural Networks on a GPU
Coming soon.. (CNNs, RNNs, GANs etc.)
This series attempts to make PyTorch a bit more approachable for people starting out with deep learning and neural networks. In this post, we’ll cover the basic building blocks of PyTorch models: tensors and gradients.
!pip install jovian -q --upgrade
Step 2: Import the library
import jovian