Skip to main content
Clear Search
English
Using AWS Sagemaker and Weights & Biases Together on Digit Recognition with MNIST
Costa Huang
Jul 27
Beginner, Computer Vision, OCR, PyTorch, SageMaker, Tutorial, Github, Panels, Parameter Importance, Plots, Sweeps, Tables, MNIST
The Geometry of Deep Generative Image Models
Sayantan Das
Jul 15
Advanced, Computer Vision, GenAI, Research, GAN, Github, Panels, Plots
A Deep Dive into Neural Architecture Search Without Training (NASWOT)
Lukas Malik
Jul 09
Intermediate, Computer Vision, Classification, Experiment, Research, NASWOT, Panels
Is ImageNet21k a Better Dataset for Transfer Learning in Steganalysis?
Yassine Yousfi
Jul 01
Intermediate, Computer Vision, Image manipulation, TIMM, Experiment, EfficientNet, Panels, Plots, ImageNet
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
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
How Well Can a CNN Detect Architectural Style?
Mason Sanders
Jun 02
Beginner, Computer Vision, Object Detection, Experiment, CNN, Panels, Plots, Kaggle
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
Gated Channel Transformation for Visual Recognition (CVPR 2020)
Manoj Manjhari
May 12
Intermediate, Computer Vision, Object Detection, Research, GCT, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
An Introduction to Attention
Aritra Roy Gosthipaty, Devjyoti Chakraborty
May 11
Beginner, NLP, Tutorial, Panels, Plots
Kaggle's MMLM 2021-NCAAW-Spread
Ruchi Bhatia
May 10
Beginner, Tabular, scikit-learn, Tutorial, Github, Panels, Plots, Kaggle
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training (ECCV 2020)
Avantika
May 06
Intermediate, Computer Vision, Object Detection, PyTorch, Research, CNN, Github, Panels, Plots, Slider, COCO, RC
Sentiment Analysis with Bag of Tricks
Devjyoti Chakraborty, Piyush Thakur
May 06
Beginner, NLP, Sentiment Analysis, Research, Panels, Plots
Iterate on AI agents and models faster. Try Weights & Biases today.