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Exploring Adaptive Gradient Clipping and NFNets
Ayush ThakurMar 18Intermediate, Computer Vision, Object Detection, Research, NFNet, ResNet, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, Normalization

Can Apple’s M1 Help You Train Models Faster & Cheaper Than NVIDIA’s V100?
Chris Van PeltJan 13Intermediate, Domain Agnostic, Hardware, Keras, Experiment, MobileNet v2, Panels, Plots, CIFAR10

Survival of the Fittest CNN Model
Aritra Roy Gosthipaty, Puja RoychowdhuryNov 05Intermediate, Domain Agnostic, Experiment, CNN, Plots, Sweeps, CIFAR10, Kaggle

Image Classification Using PyTorch Lightning and Weights & Biases
Ayush ThakurOct 28Intermediate, Computer Vision, Classification, PyTorch Lightning, Experiment, Panels, Plots, CIFAR10

Metric Learning for Image Search With Weights & Biases
Ayush ThakurOct 07Intermediate, Computer Vision, Classification, Keras, Experiment, Conv2D, Panels, Plots, CIFAR10

Towards Representation Learning for an Image Retrieval Task
Aritra Roy Gosthipaty, Souradip ChakrabortyAug 07Intermediate, Computer Vision, GenAI, Experiment, Panels, Plots, CIFAR10

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

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