Reports published on Fully Connected
A Guide to Using Stable Diffusion XL with HuggingFace Diffusers and W&B
A comprehensive guide to using Stable Diffusion XL (SDXL) for generating high-quality images using HuggingFace Diffusers and managing experiments with Weights & Biases.
Supercharging Ultralytics with Weights & Biases
A guide on using Weights & Biases with Ultralytics workflows for computer vision models.
XLA Compatibility of Vision Models in Keras
A set of comprehensive benchmarks around XLA compatibility of computer vision models implemented in Keras.
DeepFloydAI: A New Breakthrough in Text-Guided Image Generation
In this article, we explore DeepFloydAI — an AI Research Band which is working with StabilityAI to make AI open again.
Fine-Tuning Stable Diffusion Using Dreambooth in Keras
In this article, we quickly teach Stable Diffusion new visual concepts using Dreambooth in Keras, to produce fully-novel photorealistic images of a given subject.
Digging Into the ShapeNetCore Dataset
In this article, we dive into the ShapeNetCore Dataset for the classification and segmentation of point cloud data and explore how to use it using Weights & Biases.
Point Cloud Segmentation Using Dynamic Graph CNNs
In this article, we explore a simple point cloud segmentation pipeline using Dynamic Graph CNNs, implemented using PyTorch Geometric along with Weights & Biases.
Point Cloud Classification Using PyTorch Geometric
In this article, we explore how to classify point cloud data from 3D CAD Models, implementing the PointNet++ architecture and using PyTorch Geometric and W&B.
Hazy Image Restoration Using Keras
An introduction to building an Image Restoration model using Tensorflow, Keras, and Weights & Biases.
Advanced Tensorboard Features: Tensorflow Debugger
An introduction to Machine Learning workflows written in Tensorflow using the Tensorboard Debugger.
Object Detection for Autonomous Vehicles (A Step-by-Step Guide)
Digging into object detection and perception for autonomous vehicles using YOLOv5 and Weights & Biases.
Training Semantic Segmentation Models for Autonomous Vehicles (A Step-by-Step Guide)
A short tutorial on leveraging Weights & Biases to train a semantic segmentation model for autonomous vehicles.
Improving Generative Images with Instructions: Prompt-to-Prompt Image Editing with Cross Attention Control
A primer on text-driven image editing for large-scale text-based image synthesis models like Stable Diffusion & Imagen.
Building Diverse Skillsets for Video Game Characters With Adversarial Skill Embeddings
In this article, we explore using large-scale reusable adversarial skill embeddings for physically simulated characters.
Robotic Telekinesis in the Wild
In this article, we teach a robotic hand imitator by watching humans on Youtube to enable any operator in the wild with only a single uncalibrated color camera.
Digging Into StyleGAN-NADA for CLIP-Guided Domain Adaptation
In this article, we take a deep dive into how StyleGAN-NADA achieved the task of CLIP-guided domain adaptation and explore how we can use the model itself.
Barbershop: Hair Transfer with GAN-Based Image Compositing Using Segmentation Masks
A novel GAN-based optimization method for photo-realistic hairstyle transfer.
Working with FuncTorch: An Introduction
Working with JAX-like composable function transforms in PyTorch.
Block-NeRF: Scalable Large Scene Neural View Synthesis
Representing large city-scale environments spanning multiple blocks using Neural Radiance Fields.
Learning Robust Perceptive Locomotion for Quadrupedal Robots in the Wild
Or, teaching four-legged robots to walk in the real world.
PoE-GAN: Generating Images from Multi-Modal Inputs
PoE-GAN is a recent, fascinating paper where the authors generate images from multiple inputs like text, style, segmentation, and sketch. We dig into the architecture, the underlying math, and of course, generate some images along the way.