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book

:books: All programming languages books

deepglobe_land_cover_classification_with_deeplabv3plus

DeepGlobe Land Cover Classification Challenge

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

global-canopy-height-model

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

guided-depth-map-super-resolution-a-survey

Guided Depth Map Super-resolution: A Survey (ACM CSUR 2023)

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

netron

Visualizer for neural network, deep learning, and machine learning models

paraformer

Paraformer ()

personal_project

A presentation of personal projects

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

segloss

A collection of loss functions for medical image segmentation

stl_prd

vpd

[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.