Svd Python Packages

scikit-surprise

A Python scikit for building and analyzing recommender systems

neural-memory-mcp

Knowledge graph plugin for Claude Code - map your codebase into layered, navigable neural nodes

cherab-inversion

Cherab inversion framework

pyreclab

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

crikit2

CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.

rho-eval

Behavioral auditing toolkit for LLMs — audit any model across 8 dimensions (factual, toxicity, bias, sycophancy, reasoning, refusal, deception, over-refusal) using teacher-forced confidence probes.

ristretto

Randomized Dimension Reduction Library

scikit-surprise-2

A Python scikit for building and analyzing recommender systems

knowledge-fidelity

Compress LLMs while auditing whether they still know truth vs myths. SVD compression + false-belief detection in one toolkit.

simpliml

SimpliML is a versatile machine learning library designed to be a one-stop solution for the entire data lifecycle. Whether you're preparing raw data or deploying advanced predictive models, SimpliML simplifies every step of the machine learning process

diffred

Official Implementation of "DiffRed: Dimensionality Reduction guided by stable rank"

regml

Regularization for Machine Learning-RegML GUI

delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

spectral-kv

Up to 28x KV cache compression for LLMs via spectral SVD projection

matrix-fact

Matrix Factorization Library

tfrec

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

sorsa

SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models

tfcf

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.