Graph Neural Networks (GNNs) with Learnable Structural and Positional Representations

PoE-GAN: Generating Images from Multi-Modal Inputs

Tables Tutorial: Visualize Data for Image Classification

Debugging a Self-Driving RC Car

DALL-E Mini Explained

AlphaFold-ed Proteins in W&B Tables

Using AWS Sagemaker and Weights & Biases Together on Digit Recognition with MNIST

Using W&B with DeepChem: Molecular Graph Convolutional Networks

DICOM Visualization with W&B Tables

SBX Robotics: Synthetic Training Data & Scene Composition with Tables

The Geometry of Deep Generative Image Models

Is MLP-Mixer a CNN in Disguise?

Bringing Back MLPs

A Deep Dive into Neural Architecture Search Without Training (NASWOT)

MLP-Mixer: An all-MLP Architecture for Vision

Training a Remote Controlled Car to Drive Itself

Is ImageNet21k a Better Dataset for Transfer Learning in Steganalysis?

Horses to Zebras with CycleGAN

Predicting Lung Disease with Binary Classification on the NIH Chest X-ray Dataset

Generating Digital Painting Lighting Effects via RGB-space Geometry

Fine-Grained Image Classification (FGIC) with B-CNNs

How Well Can a CNN Detect Architectural Style?

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases