juampamuc

juampamuc

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tuna

:fish: Python profile viewer

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pymatting

A Python library for alpha matting

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awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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Bjork

PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''

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bspline-PyTorch-blocks

A customized PyTorch layer and a customized PyTorch activation function using B-spline transformation

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pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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roma

RoMa: A lightweight library to deal with 3D rotations in PyTorch.

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octoml-profile

Home for OctoML PyTorch Profiler

License:Apache-2.0Stargazers:103Issues:0Issues:0

torchcubicspline

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

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pyLDDMM

Python Implementation of the LDDMM algorithm

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airlab

Image registration laboratory for 2D and 3D image data

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ImageInpainting

open source implementation of https://arxiv.org/abs/1804.07723

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easyreg

an image registration/augmentation/segmentation package

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shapmagn

shape registration

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keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

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keymorph

Robust multimodal brain registration via keypoints

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unfoldNd

(N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch

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tomviztutorial

Tutorial slides on the use of Tomviz

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tomviz

Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data

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awesome-mixup

A paper list about mixup.

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Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

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LoMaR

LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)

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scipy2017

SciPy 2017 tutorial: HDF5 take 2: h5py and PyTables

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ConcreteDropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Language:Jupyter NotebookLicense:MITStargazers:243Issues:0Issues:0