enricivi

Enrico Civitelli's starred repositories

git

Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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carla

Open-source simulator for autonomous driving research.

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dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

Language:Jupyter NotebookApache-2.08496 95 375

nuscenes-devkit

The devkit of the nuScenes dataset.

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robotics_transformer

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lovely-tensors

Tensors, for human consumption

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tensor2robot

Distributed machine learning infrastructure for large-scale robotics research

Language:PythonApache-2.0534 39 10

doc2graph

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Language:Jupyter NotebookMIT110 7 19

radar_depth

Source code of the IROS 2020 paper "Depth Estimation from Monocular Images and Sparse Radar Data"

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MetaGraspNet

MetaGraspNet: Official Code Repository

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nasbench-1shot1

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MonoDEVSNet

Official PyTorch implementation of MonoDEVSNet - "Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision."

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L2G

End-to-End Learning to Grasp from Object Point Clouds

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elastic_feature_consolidation

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OptimizationModels

Optimization Models used in my e-book with the same title

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SpectralTools

Spectral analysis and training of dense layers

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spectral_learning

Learning in spectral network space

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nsma

A Memetic Procedure for Global Multi-Objective Optimization

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dex-net-silvia

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pdl2-comau

PDL2 Comau Robot programming language for Visual Studio Code

5 20

.dotfiles

My dotfiles

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limited_memory_method_for_MOO

LM-Q-NWT: A Limited Memory Quasi-Newton Approach for Multi-Objective Optimization

Language:PythonApache-2.04 20

Social-distancing-and-road-safety-policy-for-blind-people

Stiamo vivendo un periodo particolare in cui l’attenzione non è mai troppa. La Pandemia ci sta mettendo a dura prova, il virus è un nemico comune che dobbiamo assolutamente abbattere ma l’unico strumento a nostro favore momentaneamente è il rispetto delle regole disposte dal Ministero della Salute per evitare il contagio.Per alcune persone è più complicato poter osservare le normative per la prevenzione contro il Covid-19, per cui il nostro pensiero va alle persone non vedenti che non hanno sempre la possibilità di riuscire a mantenere il social-distancing, ormai divenuto fondamentale per la convivenza in una comunità che ha bisogno, ora più che mai, della collaborazione tra i singoli individui, anche se, purtroppo, non si può sempre far affidamento sul buon senso dei cittadini. La Computer Vision in questo caso, può diventare un ottimo alleato per coloro che hanno bisogno di un’aiuto concreto.

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