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Search results for deep learning parametric
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11 search results found
Pydens
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242
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Deeplpf
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175
Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
Large Batch Training
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95
Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
Sptm
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81
[ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation
Labelfree Dnn Surrogate
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46
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Semiparametric
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37
[TPAMI 2020] Generating Novel Views of Vehicles via Semi-parametric Guidance. A semi-parametric approach for synthesizing novel views of a rigid object from a single monocular image.
Edge
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35
EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning
Citation Sorted Arxiv Slack Bot
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32
Top ML papers published daily in arXiv
Hippyflow
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32
Dimension reduced surrogate construction for parametric PDE maps
Pyfunt
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24
Pythonic Deep Learning Framework Inspired by Torch's Neural Network package
Coursera Ml
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7
💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.
Awesome Machine Learning
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5
Learning tutorial for machine learning beginners
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1-11 of 11 search results
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