Here are
52 public repositories
matching this topic...
Updated
Jun 7, 2022
Python
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.
Updated
Jun 27, 2022
Python
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Updated
Apr 17, 2022
Python
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Updated
Feb 4, 2021
Python
[CVPR 2022] Deep Equilibrium Optical Flow Estimation
Updated
Apr 19, 2022
Python
Matrix Factorization based recsys in Golang. Because facts are more important than ever
Matrix Factorization augmented with customer item meta data
Updated
Nov 2, 2017
Jupyter Notebook
Beap (bi-parental heap) algorithm reference implementation in Python
Updated
Jan 20, 2018
Python
Updated
Feb 13, 2022
Julia
CFD codes written based on examples in various books like Patnakar, Versteeg etc
Updated
Jun 23, 2020
Python
Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".
Updated
Dec 3, 2021
Python
A density based solver for steady and unsteady simulation of high speed compressible flows over aeronautical vehicles.
Updated
Apr 7, 2020
Python
The laboratory from Algorithmic Machine Learning Course at EURECOM
Updated
Apr 23, 2019
HTML
Secure an ASP.NET Core Blazor WebAssembly hosted app with Azure Active Directory B2C (Without implicit grant).
Library that handles static, dynamic and non-linear procedures.
Demonstrate implicit intents
Updated
Apr 25, 2017
Java
An implicit recommendation system for AO3-based fanworks.
Updated
Jun 2, 2021
Python
[sql to spark DataSet] A library to translate SQL query into Spark DataSet API using JSQLParser and Scala implicit
Updated
Apr 26, 2021
TSQL
A finite volume based integrated hydrologic model
A collection of conditional \ modulatable implicit neural representation implementations and basic building blocks in PyTorch.
Updated
Dec 2, 2021
Python
This is an Android application which shows the usage of Intents(both Implicit and Explicit)
Updated
May 15, 2017
Java
Applied mathematics | Linear Algebra: estimating a 1D heat equation diffusion process via Explicit, Implicit, and Crank-Nicolson methods. NumPy/SciPy
Updated
Dec 31, 2019
Python
Repository of OpenClassrooms' AI Engineer path, project #9 : create a books recommandation system, integrate and deploy it as a mobile app
Updated
May 12, 2022
Jupyter Notebook
This Jupyter Notebook outlines my process as I create a movie recommendation system using matrix factorization. I use the public 100k MovieLens dataset.
Updated
Oct 2, 2018
Jupyter Notebook
Recommendation system using alternating least squares method
Updated
May 25, 2020
Python
Basic methods (ALS, Item2ITem) for RecSys
Updated
Feb 26, 2020
Python
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Hi Collie team,
Love the work y'all are doing! I noticed when playing with the hybrid model that if I pass item_metadata that contains nulls the model can be trained and will build through all the stages. It generates metric scores as well but will only generate null predictions. This doesn't seem ideal, and it may be better if one of these things happened: