molimomo Goto Github PK

mastering_tensorflow

mf-pytorch

Matrix Factorization reimplementation with pytorch

mfm-mtmv

Multilinear Factorization Machines for multi-task multi-view learning

minirocket

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

multitask-recommendation-library

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

nebullvm

Accelerate AI models leveraging best-of-breed optimization techniques 🚀

neural_collaborative_filtering

Neural Collaborative Filtering

neural_factorization_machine

TenforFlow Implementation of Neural Factorization Machine

nimfa

Nimfa: Nonnegative matrix factorization in Python

nn-svg

Publication-ready NN-architecture schematics.

nn-zero-to-hero

Neural Networks: Zero to Hero

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

openlearning4deeprecsys

Some deep learning based recsys for open learning.

orderbookprogrammingproblem

Programming Project from RGM

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

paperlist-for-recommender-systems

Recommender Systems Paperlist that I am interested in

personalized-counterfactual-fairness-in-recommendation

Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")

poismf

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

polylearn

A library for factorization machines and polynomial networks for classification and regression in Python.

powerwalk

Personalized PageRank (PPR) on GraphLab PowerGraph

preregistration

prmlt

Matlab code for machine learning algorithms in book PRML

prob-tensor-toolbox

Probabilistic Tensor Toolbox

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pwntools

CTF framework and exploit development library

pycp_apr

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR is a library that can perform non-negative Poisson Tensor Factorization on GPU. pyCP_APR also includes an interface for anomaly detection using tensor factorization.

pyitlib

A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.

python-libffm

A Python wrapper for the libffm library.

pytorch_playground