Blog

In my blog, I write about machine learning and deep learning. My posts include ML tutorials, package overviews, competition solutions and interesting project findings. All opinions are my own.

In my blog, I write about machine learning and deep learning. My posts include ML tutorials, package overviews, competition solutions and interesting project findings. All opinions are my own.

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  Implementing KNN from Scratch

  Implementing K Nearest Neighbors in Python and NumPy

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  Layer-Wise Learning Rate in PyTorch

  Implementing discriminative learning rate across model layers

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  Estimating Text Readability with Transformers

  ML solution and web app for predicting reading complexity of your texts

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  Test-Time Augmentation for Tabular Data

  Improving predictive performance during inference

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  Extracting Intermediate Layer Outputs in PyTorch

  Simple way to extract activations from deep networks with hooks

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  Tracking ML Experiments with Neptune.ai

  Switching from spreadsheets to Neptune to improve model building

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  Computing Mean & STD in Image Dataset

  How to get channel-speicific mean and std in PyTorch

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  Gradient Accumulation in PyTorch

  Increasing batch size to overcome memory constraints

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  Training PyTorch Models on TPU

  Tutorial on using PyTorch/XLA 1.7 with TPUs

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  Pre-Training with Surrogate Labels

  Using the test sample to improve CNN performance

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  Profit-Driven Demand Forecasting

  Data Mining Cup 2020 solution with graident boosted trees

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  Detecting Blindness with Deep Learning

  Using CNNs to detect diabetic retinopathy in retina photos

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  Algorithmic Fairness in R

  Tutorial on using the fairness R package