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Search results for jupyter notebook lenses
jupyter-notebook
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lenses
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5 search results found
Pytorch_explain
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80
PyTorch Explain: Logic Explained Networks in Python.
Waveblocks
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39
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
Ensai
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30
estimating parameters of strong gravitational lenses with convolutional neural networks
Cesm Lens Aws
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29
Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask
Autolens_workspace
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21
The PyAutoLens workspace: contains example scripts, datasets and more
Lenses Python
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15
Python library for Lenses.io / Kafka platform engineers
Csce670_ncf
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14
Neural Collaborative Filtering for CSCE670
Cmudeeplens
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14
Deep learning strong lens finder
H0licow Public
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12
Dolphin
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12
Automated pipeline for lens modelling based on lenstronomy.
Siemens Star
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10
Jupyter notebook to produce a Siemens Star resolution chat in svg format.
Suri Lens
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6
Text Detection and Recognition using Deep Learning
Data Science Starting
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6
Data science starting ⚛️
Grale2
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6
Modeling and inversion of gravitational lenses through a Python interface
Syseng_throughputs
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6
SysEng-approved LSST throughput information
Through Tinted Lenses
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5
My fastpages blog titled 'Through Tinted Lenses'
Oscre
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5
Documentation for the Open Snowflake Camera for Research and Education
Simulations Double Source Gravitational Lensing
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5
The simulations of gravitational lens systems are generated using the package Lenstronomy. This package support different types of lens models, light profiles of source and lens, point source options, imaging data information, noise properties of the data (PSF & pixelised convolution), and image simulations. These tools can be used to simulate systems with multiplane lensing in which there is more than one deflector.
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