Lightweight experiment tracking
Dataset and model versioning
Interactive data visualization
Centralized model registry
Automated ML workflows
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Deep Learning Articles
Part 2 – Comparing Message Passing Based GNN Architectures
Compare and visualize various message-passing based GNN architectures using Sweeps by Weights and Biases.
Part 1 – Introduction to Graph Neural Networks with GatedGCN
Introduces Graph Neural Networks and analyzes the Gated Graph Convolutional Network architecture.
AMA with Anthony Goldbloom, CEO of Kaggle
Anthony Goldbloom answers the W&B community's questions.
Introduction to Adversarial Examples in Deep Learning
Introduction to different adversarial attacks and how to defend against them.
Text Recognition with CRNN-CTC Network
This report explains how to detect & recognize text from images.
HuggingTweets - Train a model to generate tweets
In 5 minutes, fine-tune a pre-trained Transformer on anyone's tweets.
Organize Your Machine Learning Pipelines with Artifacts
How to use W&B Artifacts to store and keep track of datasets & models across machine learning pipelines.
Distributed hyperparameter optimization at scale
How to use Ray Tune with W&B to run an effective distributed hyperparameter optimization pipeline at scale.
Towards Representation Learning for an Image Retrieval Task
Self-supervised and regularized supervised image retrieval with the help of the latent space of an autoencoder.
Build the World's Open Hedge Fund by Modeling the Stock Market
The hardest data science tournament on the planet
Understanding the Effectivity of Ensembles in Deep Learning
Dissecting ensembles, one at a time.
Plunging into Model Pruning in Deep Learning
This report discusses pruning techniques in the context of deep learning.
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