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AlphaFold-ed Proteins in W&B Tables
Charles Frye, Stacey Svetlichnaya
Jul 29
Intermediate, Computer Vision, Molecule Generation, Experiment, Tables, Uniprot, Large Models, Health Care
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
Using W&B with DeepChem: Molecular Graph Convolutional Networks
Kevin Shen
Jul 26
Intermediate, Computer Vision, Molecule Generation, Experiment, GCN, Plots, Tables, Tox21, Health Care
Tables Tutorial: Visualize Text Data & Predictions
Stacey Svetlichnaya
Jul 20
Intermediate, NLP, Text Generation, PyTorch, Experiment, W&B Meta, RNN, Tables, TinyShakespeare, Chum here
Tables Tutorial: Visualize Data for Image Classification
Stacey Svetlichnaya
Jul 18
Intermediate, Computer Vision, Classification, Keras, Experiment, W&B Meta, Tables, iNaturalist, Chum here
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
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
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
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Aman Arora
May 31
Intermediate, Computer Vision, Research, ConViT, Github, ImageNet
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
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
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing (CVPR 2020)
Manoj Manjhari
May 03
Intermediate, Computer Vision, Research, SPNets (Strip Pool), Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
II. Shopee Competition: Model Training with Pytorch x RAPIDS
Andrada Olteanu
May 03
Intermediate, Computer Vision, Object Detection, PyTorch, Tutorial, Github, Kaggle
I. Shopee Competition: EDA and Preprocessing
Andrada Olteanu
May 03
Beginner, Computer Vision, Object Detection, PyTorch, Tutorial, Github, Kaggle
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