There are 0 repository under implicit topic.
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?
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
Construct isolines/isosurfaces of a 2D/3D scalar field defined by a function.
Matrix Factorization augmented with customer item meta data
Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".
Python implementation of solvers for differential algebraic equation's (DAE's) that should be added to scipy one day.
A programming language with first-class modules and algebraic effects.
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
An implicit recommendation system for AO3-based fanworks.
Differentiable wrapper for FrankWolfe.jl convex optimization routines
Repository of OpenClassrooms' AI Engineer path, project #9 : create a books recommandation system, integrate and deploy it as a mobile app
Recommender system in retail
[sql to spark DataSet] A library to translate SQL query into Spark DataSet API using JSQLParser and Scala implicit
A finite volume based integrated hydrologic model
Implicit Event Based Recommendation Engine for Ecommerce
Applied mathematics | Linear Algebra: estimating a 1D heat equation diffusion process via Explicit, Implicit, and Crank-Nicolson methods. NumPy/SciPy
The laboratory from Algorithmic Machine Learning Course at EURECOM
Preview how your implicits/givens got resolved on Scala 3
Secure an ASP.NET Core Blazor WebAssembly hosted app with Azure Active Directory B2C (Without implicit grant).
Recommendation system using alternating least squares method
Multi-Objective Recommender System
Проект создания рекомендательной системы для библиотеки