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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

• java
• gpu
• deeplearning
• neural-nets

A Python scikit for building and analyzing recommender systems

• recommender
• systems
• recommendation
• svd

A Python implementation of LightFM, a hybrid recommendation algorithm.

• machine-learning
• recommender
• python
• matrix-factorization

Fast Python Collaborative Filtering for Implicit Feedback Datasets

• collaborative-filtering
• machine-learning
• matrix-factorization
• recommender-system

fastFM: A Library for Factorization Machines

• machine-learning
• recommender-system
• factorization-machines
• matrix-factorization

Nimfa: Nonnegative matrix factorization in Python

• matrix-factorization
• latent-features
• latent-variable-models
• nonnegative-matrix-factorization

The V Tensor Library

• v
• hacktoberfest
• autograd
• deep-learning

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

• go
• golang
• matrix
• scientific-computing

Small library for using neural networks and core.matrix

👩‍💻 Matrix and other math, accelerated by WebGPU and WASM

• webgpu
• deno
• matrix
• machine-learning