Blog

In my blog, I write about Machine Learning and AI. 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 AI. My posts include ML tutorials, package overviews, competitive ML tricks and interesting project findings. All opinions are my own.

Popular posts

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  Gradient Accumulation in PyTorch

  Increasing batch size to overcome memory constraints

• 

  Computing Mean & STD in Image Dataset

  How to get channel-speicific mean and std in PyTorch

• 

  Extracting Intermediate Layer Outputs in PyTorch

  Simple way to extract activations from deep networks with hooks

Recent posts

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  Implementing PCA from Scratch

  Principal Component Analysis in Python and NumPy

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  Implementing KNN from Scratch

  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

• 

  Extracting Intermediate Layer Outputs in PyTorch

  Simple way to extract activations from deep networks with hooks

• 

  Tracking ML Experiments with Neptune.ai

  Switching from spreadsheets to Neptune to improve model building

• 

  Computing Mean & STD in Image Dataset

  How to get channel-speicific mean and std in PyTorch

• 

  Gradient Accumulation in PyTorch

  Increasing batch size to overcome memory constraints

• 

  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

• 

  Algorithmic Fairness in R

  Tutorial on using the fairness R package