Richárd Rádli (richardRadli)

richardRadli

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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CoCa-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

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segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

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Multilingual-CLIP

OpenAI CLIP text encoders for multiple languages!

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train-CLIP

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

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Ultra-Fast-Lane-Detection-v2

Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

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CLRNet

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

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generative-inpainting-pytorch

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

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MLND-Capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

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cvpr-latex-template

Extended LaTeX template for CVPR/ICCV papers

Eigenlanes

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022

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triplet-loss-pytorch

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

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ELM-pytorch

Extreme Learning Machine implemented in Pytorch

anoGAN

anomaly detection with GAN

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Hog-feature

HOG feature extractor with simple python implementation

Reconstruction-by-inpainting-for-visual-anomaly-detection

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

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RIAD

Reconstruction by Inpainting Based Anomaly Detection

Language:PythonLicense:MITStargazers:65Issues:2Issues:5

inpainting-transformer

This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)

cbigan-ad

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

Numpy-ELM

A Numpy Implementation of Extreme Learning Machine (ELM)

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VisionTransformer-MNIST

This notebook is designed to plot the attention maps of a vision transformer trained on MNIST digits.

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fekete

Fekete points estimation algorithm

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BERT

BERT model

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Deep-TextSpotter-PyTorch

PyTorch implementation Deep TextSpotter

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