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An Introduction to Adversarial Examples in Deep Learning
Sayak PaulAug 23Intermediate, Computer Vision, Domain Agnostic, PyTorch, Tutorial, GAN, Github, Panels, Plots

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

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

Generate Meaningful Captions for Images With Attention Models
Rajesh Shreedhar Bhat, Souradip ChakrabortyJul 23Intermediate, Computer Vision, NLP, Text Generation, Keras, Research, CNN, Github, Panels, Plots, Classification

Hiding In Plain Sight: Deep Steganography
Ayush ChaurasiaJul 17Intermediate, Computer Vision, Experiment, Tutorial, Panels, Plots, Sweeps, ImageNet

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

DeepChem: Predicting Molecular Solubility With Weights & Biases
Stacey SvetlichnayaMay 29Advanced, Computer Vision, scikit-learn, Experiment, Github, Panels, Plots, Sweeps, Health Care

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