Machine-Learning-Based-Error-Correcting-Decoders

⏳? Pythonic universal errors-and-erasures Reed-Solomon codec to protect your data from errors and bitrot. Includes a future-proof zero-dependencies pure-python implementation ? and an optional speed-optimized Cython/C extension ?

Loopy belief propagation for factor graphs on discrete variables in JAX

a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model

Error Correction Code Transformer

The Belief Propagation approximation for probability distributions on sparse graphs

This repository features a custom-built decoder-only language model (LLM) with a total of 37 million parameters ?. I train the model to be able to ask question from a given context

Community detection engine for the degree-corrected Stochastic Block Model, using the Belief Propagation algorithm.

Sibilla

Inference with Aggregate Data: An Optimal Transport Approach