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".
A programming language with first-class modules and algebraic effects.
An implicit recommendation system for AO3-based fanworks.
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
Differentiable wrapper for FrankWolfe.jl convex optimization routines
[sql to spark DataSet] A library to translate SQL query into Spark DataSet API using JSQLParser and Scala implicit
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
A finite volume based integrated hydrologic model
Applied mathematics | Linear Algebra: estimating a 1D heat equation diffusion process via Explicit, Implicit, and Crank-Nicolson methods. NumPy/SciPy
Implicit Event Based Recommendation Engine for Ecommerce
The laboratory from Algorithmic Machine Learning Course at EURECOM
Secure an ASP.NET Core Blazor WebAssembly hosted app with Azure Active Directory B2C (Without implicit grant).
Recommendation system using alternating least squares method
1D simulation of a two-phase thermal energy storage system using explicit and implicit methods
This Jupyter Notebook outlines my process as I create a movie recommendation system using matrix factorization. I use the public 100k MovieLens dataset.
Library that handles static, dynamic and non-linear procedures.
Tsunami modeling using finite difference method Explicit/Implicit Linear/Non-linear 1D/2D
Проект создания рекомендательной системы для библиотеки