Popular GitHub Repositories for Implicit Factorization

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

A Python scikit for building and analyzing recommender systems

A Python implementation of LightFM, a hybrid recommendation algorithm.

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Deep recommender models using PyTorch.

Recommender Learning with Tensorflow2.x

A library for differentiable nonlinear optimization

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

TensorLy: Tensor Learning in Python.

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Point-NeRF: Point-based Neural Radiance Fields

Factorization Machine models in PyTorch

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A Comparative Framework for Multimodal Recommender Systems