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hinata-koizumi / fmnist-logreg-classification

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15th place solution for the U-Tokyo Deep Learning Course Softmax Regression Competition (Top 0.9%). A highly optimized NumPy-only implementation featuring custom feature engineering (HOG/LBP), class-specific calibration, and distribution bias correction.

machine-learning pca feature-engineering softmax-regression data-augmentation histogram-of-oriented-gradients fashion-mnist competition-solutions numpy-only
  • Updated Nov 9, 2025
  • Python

Balzakrez / mnist-neural-network-from-scratch-2025

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An educational Python project developed during the Neural Network And Deep Learning course, this repository features the implementation of a neural network from scratch, without external libraries, and includes fundamental neural network algorithms.

python machine-learning tutorial deep-neural-networks deep-learning neural-network numpy mnist image-classification educational handwritten-digits digit-recognition backpropagation from-scratch neural-network-python no-frameworks neural-networks-from-scratch numpy-only
  • Updated Nov 14, 2025
  • Python

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