Osmar Yupanqui Carrasco's starred repositories

CogVideo

Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

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tvi

Temporal Visual Inspection

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DinkSmallwoodHD

This is a clone of an SVN repository at svn://rtsoft.com/rtsvn/projects/RTDink. It had been cloned by http://svn2github.com/ , but the service was since closed. Please read a closing note on my blog post: http://piotr.gabryjeluk.pl/blog:closing-svn2github . If you want to continue synchronizing this repo, look at https://github.com/gabrys/svn2github

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ultralytics4channel

Ultralytics 8.2.5 modified to train and predict for 4-channel (RGBD) images.

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yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

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sentinel-tree-cover

Image segmentations of trees outside forest

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stable-diffusion-webui

Stable Diffusion web UI

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imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

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qgis-earthengine-plugin

Integrates Google Earth Engine and QGIS using Python API

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Peru-tensorflow-training

A GitHub repository for the TensorFlow Training held in Peru (August 8th-11th)

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qgis2web

QGIS plugin to export your project to an OpenLayers or Leaflet webmap. No server-side software required.

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Landsat-Classification-Using-Neural-Network

All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.

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Selective-Logging-and-Roads-Detection-with-Deep-Learning-and-GEE

A series of python notebooks describing a simple workflow to develop a deep learning model with very high resolution images.

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TFRecord-Examples

The notebooks used in the TFRecords video

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techniques

Techniques for deep learning with satellite & aerial imagery

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basic-computer-games

An updated version of the classic "Basic Computer Games" book, with well-written examples in a variety of common MEMORY SAFE, SCRIPTING programming languages. See https://coding-horror.github.io/basic-computer-games/

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machine-learning-books

this is a collection of books and courses for machine learning.

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