Sofiane's starred repositories

NewPipe

A libre lightweight streaming front-end for Android.

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pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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Open3D

Open3D: A Modern Library for 3D Data Processing

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segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

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LaTeX-examples

Examples for the usage of LaTeX

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PixelAnnotationTool

Annotate quickly images.

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probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

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pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

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KPConv-PyTorch

Kernel Point Convolution implemented in PyTorch

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KPConv

Kernel Point Convolutions

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learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

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awesome-point-cloud-registration

A curated list of point cloud registration.

Point-Set-Matching-Registration-Material

A list of point set matching/registration resources collected by Gang Wang

3DSmoothNet

[CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

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SpinNet

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

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D3Feat

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

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D3Feat.pytorch

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

torch-points-kernels

Pytorch kernels for spatial operations on point clouds

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point_clouds_registration_benchmark

A benchmark for point clouds registration algorithms

KPConv.pytorch

PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889

dip

Project page of the paper "Distinctive 3D local deep descriptors" accepted in IEEE International Conference on Pattern Recognition 2020.

lightning-geometric

Integrate pytorch

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torch-points3d-templates

Implement simple template for torch-points3d

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