weights-and-biases topic

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

milesial

Generic template to bootstrap your PyTorch project.

grok-ai

Train a state-of-the-art yolov3 object detector from scratch!

AntonMu

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

eubinecto

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

bsridatta

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

JayThibs

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

iusztinpaul

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

MIC-DKFZ

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

martysai

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

nzw0301