Popular GitHub Repositories for Implicit Matrix Factorization

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

A Python scikit for building and analyzing recommender systems

Cross-platform chatbot framework made with love

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.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Recommender Learning with Tensorflow2.x

A library for differentiable nonlinear optimization

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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

Acceleration package for neural networks on multi-core CPUs

[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

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

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

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

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