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Introducing Serverless RL
Kyle Corbitt
Oct 08
Articles, Reinforcement Learning
Make evaluations count: Comparing AI application evaluation results using W&B Weave
Russell Ratshin
Oct 02
Articles, GenAI, Tutorial, Evaluations, Agents
Product newsletter: Updates and new features for September 2025
Chander Matrubhutam
Oct 09
Articles, Weave, New W&B feature releases
Organizing registries in W&B Models
Nina Olding
Oct 16
Articles, Tutorial, Registry, W&B Meta, GenAI
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Horses to Zebras with CycleGAN
Robert Mitson
Jun 30
Computer Vision
Inject Noise to Remove Noise: A Deep Dive into Score-Based Generative Modeling Techniques
Sayantan Das
Jun 29
Advanced, Domain Agnostic, Guide, Research, Github
Predicting Lung Disease with Binary Classification on the NIH Chest X-ray Dataset
Ayush Thakur
Jun 28
Beginner, Computer Vision, Classification, Experiment, Panels, Plots, Kaggle, NIH X-ray, Health Care
Generating Digital Painting Lighting Effects via RGB-space Geometry
Ayush Thakur
Jun 23
Intermediate, Computer Vision, GenAI, Experiment, Research, Github, Panels, Plots, TMP
Gym-μRTS: Toward Affordable Deep Reinforcement Learning Research in Real-Time Strategy Games
Costa Huang, Chris Bamford
Jun 14
Advanced, Reinforcement Learning, Gaming, OpenAI, Experiment, Research, Github, Panels, Plots, Slider
Fine-Grained Image Classification (FGIC) with B-CNNs
Rajesh Shreedhar Bhat, Souradip Chakraborty
Jun 10
Intermediate, Computer Vision, Classification, PyTorch, Experiment, B-CNN, Panels, Plots, Slider, Kaggle
How to Implement the Softmax Function in Python
Krisha Samir Mehta
Jun 10
Beginner, Domain Agnostic, Classification, PyTorch, Tutorial, Panels, Plots, Softmax
Offline Reinforcement Learning with Collaborative Datasets
Mandi Zhao
Jun 10
Advanced, Reinforcement Learning, Experiment, Artifacts, Panels, Plots
The Reality Behind the Optimization of Imaginary Variables
Darshan Deshpande
Jun 08
Advanced, Domain Agnostic, Guide, Research
Hosted Tensorboard
Robert Mitson
Jun 07
W&B Meta
Introducing Bag of Words: The W&B Newsletter
Justin Tenuto
Jun 07
Beginner, Domain Agnostic, W&B Meta
Recurrent Neural Networks for Text Generation
Robert Mitson
Jun 05
Text Generation
Data Science Experiments Management with Weights & Biases
BroutonLab team
Jun 04
Beginner, Domain Agnostic, Case Study, W&B Meta, Artifacts, Custom Charts, Panels, Plots, Sweeps, MNIST
A Gentle Introduction To Weight Initialization for Neural Networks
Saurav Maheshkar
Jun 03
Beginner, Domain Agnostic, Github, Panels, Plots
How Well Can a CNN Detect Architectural Style?
Mason Sanders
Jun 02
Beginner, Computer Vision, Object Detection, Experiment, CNN, Panels, Plots, Kaggle
Anonymous Mode
Robert Mitson
May 31
W&B Features
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Aman Arora
May 31
Intermediate, Computer Vision, Research, ConViT, Github, ImageNet
How Graphcore Is Supporting the Next Generation of Large Models With the Help of W&B
Weights & Biases Case Studies
May 25
Beginner, Hardware, NLP, Case Study, BERT, Large Models
How Nanit Improves and Develops Models
Nimrod Shabtay
May 20
Beginner, Computer Vision, Object Detection, Keras, Case Study, R-CNN, Panels, Plots, COCO
Funnel Activation for Visual Recognition (CVPR 2020)
Manoj Manjhari
May 18
Intermediate, Computer Vision, Classification, Object Detection, Research, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
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