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data-science-learning

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📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

lama

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🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

nerf_pl

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NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

geemap

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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

stylegan2-projecting-images

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Projecting images to latent space with StyleGAN2.

retinaface-tf2

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RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

arcface-tf2

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ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

Google2Csv

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Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

A2S2K-ResNet

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A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification