Tables & Artifacts 보고서
W&B의 기능과 활용 사례 소개
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Created on September 15|Last edited on September 15
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Artifacts 및 Tables 가이드
An Introduction to Weights & Biases Artifacts
This article introduces Weights & Biases Artifacts, which offer lightweight dataset versioning, and gives an easy-to-follow example so that you can see how they work.
Tables Tutorial: Visualize Data for Image Classification
How to version and interactively explore data and predictions across train/val/test with W&B's new Tables feature
다양한 데이터 유형
AlphaFold-ed Proteins in W&B Tables
Visualize and analyze protein sequences and 3D structures with W&B Tables
Tables Tutorial: Recreating Whale Melodies on Orchestral Instruments
Interactively exploring ML data and predictions in the audio domain with our new Tables feature
Tables Tutorial: Visualize Text Data & Predictions
A guide on how to log and organize text data and language model predictions with our old friend William Shakespeare
Named Entity Recognition with W&B and spaCy
Visualize and explore named entities with spaCy in W&B
Financial Sentiment Analysis on Stock Market Headlines With FinBERT & HuggingFace
In this article, we analyze the sentiment of stock market news headlines with the HuggingFace framework using a BERT model fine-tuned on financial texts, FinBERT.
심층 활용 사례
Getting Started With Weights & Biases SafeLife
This article includes first runs and observations in the SafeLife benchmark in Weights & Biases, which was developed in collaboration with the Partnership on AI (PAI).
Measuring Safety in Reinforcement Learning
This article introduces the SafeLife Benchmark Launch with Partnership on AI and explains its importance for the future development of ethical AI.
Semantic Segmentation: The View from the Driver's Seat
This article explores semantic segmentation for scene parsing on Berkeley Deep Drive 100K (BDD100K) including how to distinguish people from vehicles.
Image Masks for Semantic Segmentation Using Weights & Biases
This article explains how to log and explore semantic segmentation masks, and how to interactively visualize models' predictions with Weights & Biases.
Exploring Bounding Boxes for Object Detection With Weights & Biases
In this article, we take a look at how to log and explore bounding boxes with Weights & Biases
LIDAR Point Clouds of Driving Scenes
Visualize LIDAR point clouds from the Lyft dataset, annotate with 3D bounding boxes, and explore interactively!
고급: Tables 사용 및 비교 방법
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