implicit

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Automatic differentiation of implicit functions

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928

CFD codes written based on examples in various books like Patnakar, Versteeg etc

Matrix Factorization based recsys in Golang. Because facts are more important than ever

Construct isolines/isosurfaces of a 2D/3D scalar field defined by a function.

Graph implicit curves in Swift

Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.

Matrix Factorization augmented with customer item meta data

Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".

Aegis Implicit Mail

A programming language with first-class modules and algebraic effects.

Beap (bi-parental heap) algorithm reference implementation in Python

An implicit recommendation system for AO3-based fanworks.

A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.