Zygmunt Zając

goodbooks-10k. Ten thousand books, six million ratings

hyperband. Tuning hyperparams fast with Hyperband

phraug. A set of simple Python scripts for pre-processing large files

phraug2. A new version of phraug, which is a set of simple Python scripts for pre-processing large files

numer.ai. Validation and prediction code for numer.ai

kaggle-blackbox. Deep learning made easy

classifying-text. Classifying text with bag-of-words

adversarial-validation. Creating a better validation set when test examples differ from training examples

evaluating-recommenders. Compute and plot NDCG for a recommender system

time-series-classification. Classifying time series using feature extraction

classifier-calibration. Reliability diagrams, Platt's scaling, isotonic regression

the-secret-of-the-big-guys. k-means + a linear model = good results

pointer-networks-experiments. Sorting numbers with pointer networks

kaggle-advertised-salaries. Predicting job salaries from ads - a Kaggle competition

kaggle-cats-and-dogs. Classifying images with OverFeat

Python-ELM. Extreme Learning Machine implementation in Python

kaggle-happiness. Predicting happiness from demographics and poll answers

gaussrank. Preparing continuous features for neural networks with GaussRank

sofia-ml-mod. sofia-kmeans with sparse RBF cluster mapping

kaggle-cifar. Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet

kaggle-stackoverflow. Predicting closed questions on Stack Overflow

pylearn2-practice. Pylearn2 in practice

kaggle-burn-cpu. Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.

wine-quality. Predicting wine quality

pybrain-practice. A regression example for PyBrain

kaggle-amazon. Amazon access control challenge

cubert. How to make those 3D data visualizations

dimensionality-reduction-for-sparse-binary-data. convert a lot of zeros and ones to fewer real numbers

kaggle-gender. A Kaggle competition: discriminate gender based on handwriting

msda-denoising. Using a very fast denoising autoencoder

kaggle-solar. Code for Solar Energy Prediction Contest at Kaggle

nonlinear-vowpal-wabbit. How to use automatic polynomial features and neural network mode in VW

metric-learning-for-regression. Applying metric learning to kin8nm

kaggle-avito. Code for the Avito competition

kaggle-rossmann. Predicting sales with Pandas

kaggle-accelerometer. Code for Accelerometer Biometric Competition at Kaggle

spearmint. tuning hyperparams automatically with spearmint

large-scale-linear-learners. VW, Liblinear and StreamSVM compared on webspam

stardose. A recommender system for GitHub repositories

r-libsvm-format-read-write. R code for reading and writing files in libsvm format

running-external-programs-from-python. Python

feature-selection. Selecting features for classification with MRMR

kaggle-stumbleupon. bag of words + sparsenn

kaggle-merck. Merck challenge at Kaggle

project-rhubarb. predicting mortality in England using air quality data

kaggle-digits. Some code for the Digits competition at Kaggle, incl. pylearn2's maxout

kaggle-bestbuy_big. Code for the Best Buy competition at Kaggle

kaggle-poker-hands. Code for the Poker Rule Induction competition

misc. misc

kaggle-bestbuy_small. Python

AlpacaGPT. How to train your own ChatGPT, Alpaca style

pybrain. Python

kaggle-jobs. Some auxiliary code for Kaggle job recommendation challenge

nonconformist. Python implementation of the conformal prediction framework.