Popular GitHub Repositories for Weights And Biases

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A clean and structured implementation of Transformer with wandb and pytorch-lightning

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

Example codes in the medium post titled "Optuna meets Weights and Biases."

Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss

Order execution in the financial markets using Deep Reinforcement Learning.

:detective::robot: Monitoring a PyTorch Lightning CNN with Weights & Biases

Deep learning based color transfer between images.

A template repository to quickly get started on a new Machine Learning project.

Using GPT-3 to help me get more ? on medium.com

Predicting Turbine Energy Yield (TEY) using ambient variables as features.

Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

讲解基于Transformer的架构

Official Course Webpage for CS175: Projects in AI

Training Fashion product classification and visual similarity detection model using Pytorch Lightning

:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

Templates for AI projects.

A Low-Rank Adaptation of a pretrained Stable Diffusion model that generates background scenery. Trained with PyTorch, and deployed with AWS EC2 and Ngrok.

Machine Learning pipeline training Convolutional Neural Networks to identify sports vs advertisement images