A state of the art Weighted and Projected Sampler

A digit bin index is a compact representation of a number of weights in the interval (0,1) structured for fast selection and removal of a particular weight based on the accumulated values of the contained weights.

Proyecto que compara estimaciones de grupo usando diferentes tipos de muestreo. Algunas técnicas de muestreo, los individuos de la población tienen diferentes probabilidades de ser seleccionados, lo cual es considerado por los modelos de estimación.

Pytorch model for estimating human age from facial images.

Bayesian network using weighted and Gibbs sampling

1st place solution for the CentraleSupélec Deep Learning Kaggle challenge "3-MD-4040 2026 ZooCAM Challenge". Plankton image classification (1.2M samples, 86 classes) using CNNs trained from scratch and a weighted logits ensemble of ResNet50, EfficientNet-B3 and ConvNeXt-Tiny with label smoothing, weighted sampling and TTA.

NLP project: Markov Chain text generator with N-gram models and fast parallel preprocessing

A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight. The sampling method utilizes a binary search optimization, making it suitable for performance-demanding applications where the set of items is large and the sampling frequency is high.

A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, and every item is sampled exactly once (without repetition or replacement). The sampling method utilizes a binary-search optimization, making it suitable for performance-demanding applications where the set of items is large.

Cryptographically safe random utilities for Go. Helpers for generating random hex strings, tokens, numbers, bytes, UUIDs, emails etc. Thin wrappers around crypto/rand for everyday use.