Svd Python Packages

scikit-surprise

A Python scikit for building and analyzing recommender systems

metal-linalg

QR, symmetric eigendecomposition and SVD for batches of matrices on Apple Silicon GPUs, for MLX and PyTorch. 2x to 10x gain in performance. Metal kernels per regime, routed to the GPU or the CPU by policies measured per Mac. C++, Python (pip: metal-linalg, metal-linalg-torch), Swift and C.

metal-linalg-torch

QR, symmetric eigendecomposition and SVD for batches of matrices on Apple Silicon GPUs, for MLX and PyTorch. 2x to 10x gain in performance. Metal kernels per regime, routed to the GPU or the CPU by policies measured per Mac. C++, Python (pip: metal-linalg, metal-linalg-torch), Swift and C.

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.

cherab-inversion

CHERAB for inversion tools

crikit2

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

neural-memory-mcp

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

scikit-surprise-2

A Python scikit for building and analyzing recommender systems

diffred

[AISTATS 2024] DiffRed: Dimensionality Reduction guided by stable rank

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

regdrift

Compatibility gate for CMSIS-SVD register maps. Detect breaking register-map changes in CI before they reach firmware.

ristretto

Randomized Dimension Reduction Library

delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

matrix-fact

Matrix Factorization Library

regml

Regularization for Machine Learning-RegML GUI

spectral-kv

Up to 28x KV cache compression for LLMs via spectral SVD projection. Practically lossless on modern architectures.

sorsa

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

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.

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.