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Debugging a Self-Driving RC Car
Armand du Parc LocmariaAug 04Beginner, Computer Vision, Object Detection, Case Study, Panels, Plots, Autonomous Vehicles
Exploring Adaptive Gradient Clipping and NFNets
Ayush ThakurMar 18Intermediate, Computer Vision, Object Detection, Research, NFNet, ResNet, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, Normalization
YOLOv5 Object Detection on Windows (Step-By-Step Tutorial)
Dave DaviesSep 28Beginner, Computer Vision, Object Detection, PyTorch, Tutorial, Plots, Chum here, Exemplary, YOLO
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Kaggle License Plate Detection With Weights & Biases
Aritra Roy GosthipatyNov 12Intermediate, Computer Vision, Object Detection, Keras, Experiment, CNN, Github, Panels, Plots, Kaggle
IceVision Meets Weights & Biases For Object Detection
AI Fast TrackOct 28Intermediate, Computer Vision, Object Detection, PyTorch Lightning, fastai, Experiment, Tutorial, EfficientNet, Panels, Plots
Object Localization With Keras and Weights & Biases
Ayush ThakurOct 27Intermediate, Computer Vision, Object Detection, Keras, Experiment, Conv2D, Github, Panels, Plots, MNIST
Plot Precision Recall Curves With Weights & Biases
Stacey SvetlichnayaOct 10Beginner, Computer Vision, Object Detection, Experiment, W&B Meta, CNN, Custom Charts, Panels, Plots, iNaturalist
Melanoma Detection Using Weights & Biases
Anshul SharmaSep 29Intermediate, Computer Vision, Object Detection, Experiment, DenseNet, Panels, Plots, Kaggle, Health Care
Organize Your Machine Learning Pipelines With Artifacts in Weights & Biases
Ayush ChaurasiaJul 27Beginner, Computer Vision, Domain Agnostic, Object Detection, PyTorch, W&B Meta, YOLO, Github, Artifacts, Panels, Plots
Understanding the Effectivity of Ensembles in Deep Learning
Sayak Paul, Ayush ThakurJul 24Intermediate, Computer Vision, Object Detection, PyTorch, Experiment, Research, CNN, ResNet, Github, Panels, Plots, CIFAR10
Implementing and Tracking the Performance of a CNN in PyTorch
Ayush ThakurJul 07Intermediate, Computer Vision, Domain Agnostic, Object Detection, PyTorch, Tutorial, CNN, Plots, Sweeps, CIFAR10
The Power of Random Features of a Convolutional Neural Network (CNN)
Sayak PaulMay 18Intermediate, Computer Vision, Object Detection, Keras, Experiment, Research, CNN, ResNet, Panels, Plots, CIFAR10, Normalization
The Al-Dente Neural Network: Part I
Sairam SundaresanMay 18Intermediate, Computer Vision, Object Detection, Experiment, Panels, Plots, CIFAR10
Interpretability in Deep Learning With Weights & Biases: CAM and Grad-CAM
Ayush ThakurApr 27Intermediate, Computer Vision, Object Detection, Keras, Experiment, CAM, Panels, Plots, Slider
Exploring Bounding Boxes for Object Detection With Weights & Biases
Stacey SvetlichnayaApr 24Beginner, Computer Vision, Object Detection, W&B Meta, YOLO, Panels, Berkeley Deep Drive, Autonomous Vehicles
Drought Watch Benchmark Progress
Stacey SvetlichnayaApr 11Intermediate, Computer Vision, Object Detection, Keras, Benchmark, Github, Plots, Sweeps
Digging Into KITTI With Weights & Biases With PyTorch-Lightning Kitti
Boris DaymaMar 29Intermediate, Computer Vision, Object Detection, Semantic Segmentation, PyTorch Lightning, Experiment, Github, Plots, Sweeps, KITTI, Autonomous Vehicles
Visualizing and Debugging Neural Networks with PyTorch and Weights & Biases
Lavanya ShuklaMar 25Beginner, Domain Agnostic, Object Detection, PyTorch, Experiment, Panels, Plots, Sweeps, MNIST
Curriculum Learning in Nature Using the iNaturalist 2017 Dataset
Stacey SvetlichnayaFeb 08Intermediate, Computer Vision, Object Detection, Experiment, CNN, Plots, iNaturalist
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