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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
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
Learning Dexterity End-to-End Using Weights & Biases Reports
Alex PainoMay 21Intermediate, Reinforcement Learning, Robotics, Keras, Case Study, Experiment, ORBB, Plots
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
An Example of Transformer Reinforcement Learning
Leandro von WerraMay 13Intermediate, NLP, Reinforcement Learning, HuggingFace, Experiment, Panels, Plots, Slider, Sweeps
Does Model Size Matter? A Comparison of BERT and DistilBERT
Jack MorrisMay 12Intermediate, NLP, HuggingFace, Experiment, BERT, DistilBERT, Github, Panels, Plots, Sweeps, Large Models
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