Examples

Example projects, walkthroughs, and tutorials of how to use Weights & Biases

Explore examples for using Weights & Biases to:

  • Track and visualize machine learning experiments

  • Version datasets and models

  • Instrument models using different frameworks like PyTorch and Scikit

Fork examples from our GitHub repo or browse the direct links here. Contact us at c@wandb.com to contribute an example to the list.

Getting Started with W&B

Description

Dashboard

Code

Track Model Performance

W&B link

Kaggle Kernel

Visualize Model Predictions

W&B link

Kaggle Kernel

Saving and Restoring Models

W&B link

Colab Notebook

Compare System Metrics

W&B link

Hyperparameter Sweeps

W&B link

Colab Notebook

PyTorch

Description

Dashboard

Code

Intro to PyTorch with W&B

W&B Dashboard

Colab Notebook

PyTorch MNIST Colab

W&B Dashboard

Colab Notebook

Colorizing CNN transforms B&W images to color

W&B Dashboard

Github Repo

Yolo-2 Bounding Box

W&B Dashboard

Github Repo

Reinforcement Learning

W&B Dashboard

Github Repo

char-RNN to forecast text

W&B Dashboard

Github Repo

Exploring ResNets With W&B

W&B Dashboard

Colab Notebook

Exploring Neural Style Transfer Paper With W&B

W&B Dashboard

Github Repo

Debugging Neural Networks with PyTorch

W&B Report

GitHub Repo

PyTorch Lightning

W&B Report

Colab Notebook

Semantic Segmentation with PyTorch Lightning

W&B Dashboard

Github Repo

Keras

Description

Dashboard

Code

Intro to Keras with W&B

W&B Dashboard

Colab Notebook

Intro to Convolutional Neural Networks with W&B

W&B Dashboard

Colab Notebook

Colorizing CNN transforms B&W images to color

W&B Dashboard

Github Repo

CNN Face emotion classifier

W&B Dashboard

Github Repo

Mask RCNN semantic segmentation

W&B Dashboard

Github Repo

Fine-tuning CNN on iNaturalist data

W&B Dashboard

Github Repo

Semantic segmentation with U-Net

W&B Dashboard

Github Repo

Effects of Weight Initialization on Neural Networks

W&B Dashboard

Colab Notebook

Can Neural Image Generators Be Detected?

W&B Dashboard

Visualize Model Predictions

W&B Dashboard

Kaggle Kernel

Track Model Performance

W&B Dashboard

Kaggle Kernel

Visualize models in TensorBoard with Weights & Biases

W&B Dashboard

Colab Notebook

Weights & Biases with TPUs

Colab notebook

TensorFlow

Description

Dashboard

Code

GAN to predict video frames

W&B Dashboard

Github Repo

Tracking TensorFlow model performance

Github Repo

Training distributed TensorFlow models

Github Repo

Fast.ai

Description

Dashboard

Code

Using WandbCallback with fastai

W&B Report

Colab Notebook

Sweeps

Description

Public Dashboard

Code

Intro to Sweeps with W&B

W&B Dashboard

Colab Notebook

PyTorch Sweeps: Meaning and noise in hyperparameter search

Report

Running sweeps in python scripts

Github Repo

Using sweeps with MPI frameworks

Github Repo

Scikit-learn

Description

Public Dashboard

Code

Visualize Scikit Models

W&B Dashboard

Colab Notebook

Using W&B with XGBoost

Github Repo

Using W&B with an SVM

Github Repo

Applications

Title

Link

Protein Structure Prediction

Report

Semantic Segmentation for Self-Driving Cars

[Report]([https://app.wandb.ai/stacey/deep-drive/reports/The-View-from-the-Driver's-Seat--Vmlldzo1MTg5NQ](https://app.wandb.ai/stacey/deep-drive/reports/The-View-from-the-Driver's-Seat--Vmlldzo1MTg5NQ)\)

Template for COVID-19 Research

Report

Depth Maps from Videos for Self-Driving Car

Report

Effects of Weight Initialization on Neural Networks

Report

Features

Title

Link

Hugging Face Integration

Colab Notebook