My 9 year old asked this question and we created this notebook as part of our fun exploration. The Pluto notebooks along with PlutoUI are really well suited for this kind of exploration.
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CIFAR10 Classification: TensorFlow + Ray Tune Edition In this notebook, we turn to hyperparameter tuning using Ray Tune. Our objective is to find better hyperparams and network architecture. Although we will not spend too much time on network architecture, you probably will get enough information to try on your own.
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In this notebook, we use Plots.jl and Pluto.jl to visualise the Covid-19 confirmed cases across the world. The notebook below shows you how to generate the animated plot.
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This is a remake of chartr.co chart on hangover cure google trend.
When I started working on this mini dataviz project, tidy tuesdays of sort, I was hoping to complete it in a few hours.
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This notebook is part of CIFAR-10 Classifiers post, which covers building classifiers using TensorFlow, PyTorch, PyTorch Lightning etc.
Part 1: Tensorflow | Part 3: PyTorch
CIFAR 10 Classifier: Pytorch Lightning Edition We use Pytorch Lightning in this notebook, it abstracts away all the boiler plate code that we need to add to every pytorch training workflow.
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Random walk, also known as drunkard’s walk, is starting at some position and randomly taking the next step. In its simplest form, you can generate it in one-dimension using the following pseudocode:
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Part 1: Tensorflow
This notebook is part of CIFAR-10 Classifiers post. In that post, I cover building classifiers using Deep Learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning and making use of several hyperparameter optimization libraries.
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This notebook is part of CIFAR-10 Classifiers post, which covers building classifiers using TensorFlow, PyTorch, PyTorch Lightning etc.
CIFAR-10 Classifier: TensorFlow 2.x Edition Objective Build a simple CIFAR10 classification model that runs on GPU using following:
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A few days back, I shared a plot that showed World’s Top 10 richest folks using Wikipedia data.
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I used Plotly Python to create the plot. Here is the snippet:
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