yilmazerhakan

vae-cf-pytorch

Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch

ng-video-lecture

Deep-Latent-Gaussian-Models

PyTorch implementation for Deep Latent Gaussian Models(DLGM) https://arxiv.org/abs/1401.4082

AdamW-and-SGDW

Decoupled Weight Decay Regularization (ICLR 2019)

botorch

Bayesian optimization in PyTorch

simple-variational-diffusion-models

A simple implementation of Kingma et al., 2021

recpack

GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)

Recommender-Systems

expo-mf

Exposure Matrix Factorization: modeling user exposure in recommendation

Merlin

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

recsys-evaluation-frameworks

A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms

VBLinLogit

Variational Bayes linear and logistic regression

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

iptv

Collection of publicly available IPTV channels from all over the world

RecommenderSystem-Paper

This repository includes some papers that I have read or which I think may be very interesting.

recsys-dataset

🛍 A real-world e-commerce dataset for session-based recommender systems research.

machine_learning_basics

Plain python implementations of basic machine learning algorithms

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

laravel-blog

Laravel 10.0 blog application with Hotwire, Horizon, Telescope, Sanctum, Breeze and Pusher

laravel-echo-server

Socket.io server for Laravel Echo

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

TheDatasetsDilemma

Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

RecoTour

A tour through recommendation algorithms in python [IN PROGRESS]

Optimisation-algorithms-sgd

Implementation of SGD variants algorithms with octave

polara

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

starrec-master