Projects in Awesome Lists by finite-sample
A curated list of projects in awesome lists by finite-sample .
https://github.com/finite-sample/pyppur
pyppur: Python Projection Pursuit Unsupervised (Dimension) Reduction To Min. Reconstruction Loss or DIstance DIstortion
projection-pursuit reconstruction-loss
Last synced: 11 Mar 2026
https://github.com/finite-sample/calibre
Advanced Calibration Models
calibration near-isotonic pava relaxed-pava
Last synced: 08 Oct 2025
https://github.com/finite-sample/optimal_cuts
Optimal Binning (Quantization)
Last synced: 11 Feb 2026
https://github.com/finite-sample/endorsement
Derive Proportion Supporting A Group From an Endorsement Experiment
Last synced: 08 Mar 2026
https://github.com/finite-sample/rank_preserving_calibration
Rank preserving calibration of multiclass prob.
Last synced: 26 Aug 2025
https://github.com/finite-sample/econometric_bench
AI Benchmark for Econometrics
Last synced: 20 May 2026
https://github.com/finite-sample/knockoff-triplets
Creating Knockoffs Using Triplet Loss
Last synced: 10 Oct 2025
https://github.com/finite-sample/optimal_data_collection
Optimal Data Collection
Last synced: 08 Feb 2026
https://github.com/finite-sample/hessband
Analytics BW selector for univariate NW and KDE (more coming!)
Last synced: 29 Jul 2025
https://github.com/finite-sample/prop_male
How does stopping rule matter for sex ratio?
Last synced: 18 Mar 2026
https://github.com/finite-sample/analytic-bw
Analytic Bandwidth Selector for NW and KDE Based on CV Hessian
Last synced: 17 Oct 2025
https://github.com/finite-sample/incline
Estimate Trend at a Point in a Noisy Time Series
derivative noisy-data slope time-series
Last synced: 18 Oct 2025
https://github.com/finite-sample/lookahead-kmeans
Look Ahead Initialization of K-Means
Last synced: 18 Oct 2025
https://github.com/finite-sample/mw-calibration
Always‑On Probability Calibration via Multiplicative‑Weights. Comparison to Batch Platt & Isotonic
Last synced: 29 Jul 2025
https://github.com/finite-sample/dct
Making Neural Networks Stable with Dropout‑Consistency Training
Last synced: 29 Jul 2025
https://github.com/finite-sample/pareto-deployment
Pareto Deployments of ML Models
Last synced: 29 Jul 2025
https://github.com/finite-sample/pareto-gd
Pareto Improving GD. Only update when when doing so improves or maintains performance on all previously seen data.
Last synced: 09 Feb 2026
https://github.com/finite-sample/late_iv
check distributional implications of LATE
Last synced: 21 Feb 2026
https://github.com/finite-sample/robust-cart
Node level stability selection
Last synced: 29 Jul 2025
https://github.com/finite-sample/stagecoachml
Build two-stage models when your features arrive in two batches at different times.
machine-learning scikit-learn two-stage-models
Last synced: 14 Jan 2026
https://github.com/finite-sample/fewlab
Pick the fewest items to label for most efficient unbiased OLS regression on per‑row trait shares
Last synced: 14 Sep 2025
https://github.com/finite-sample/lowdimtraining
Methods For Low Dimensional Weight Updates For GD.
Last synced: 29 Jul 2025
https://github.com/finite-sample/confounded_attention
Do Attention Patterns Predict Model Robustness?
Last synced: 29 Jul 2025
https://github.com/finite-sample/leximin-matching
Matching Based on Leximin Objective
Last synced: 29 Jul 2025
https://github.com/finite-sample/pyppann
Projection Pursuit Approximate Nearest Neighbors
Last synced: 22 Aug 2025