implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
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Updated
Nov 3, 2024 - Python
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
A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.
CFD codes written based on examples in various books like Patnakar, Versteeg etc
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.
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.
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
Recommendation system using alternating least squares method
Multi-Objective Recommender System
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