CesarAugusto88

CesarAugusto88's Stars

• siromermer/OpenCV-Projects-cpp-python

  Object tracking with --> SIFT , FAST , ORB , Meanshift , Lucas Kanade , Background Subtraction . Both c++ and python implementation for each project.

  Language:Makefile111

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python24.2k4.4k

• aserdega/convlstmgru

  Pytorch implementations of ConvLSTM and ConvGRU modules with examples

  Language:Python7220

• tychovdo/MovingMNIST

  Moving MNIST as PyTorch Dataset

  Language:Python9525

• Pilhyeon/BaSNet-pytorch

  Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)

  Language:Python17426

• brazil-data-cube/code-gallery

  A gallery of interesting Jupyter Notebooks based on Brazil Data Cube data and technologies

  Language:Jupyter Notebook5224

• CesarAugusto88/PDI-segmentation-rsgislib

  Language:Jupyter Notebook3

• charlotte-pel/igarss2019-dl4sits

  Machine learning for satellite image time series

  Language:Python2713

• tamangmilan/nn-pytorch

  Building Neural Network : With Real-World Dataset Using PyTorch

  Language:Jupyter Notebook2

• adugnag/gee_s1_ard

  Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

  Language:Python24084

• prs-eth/sentinel_lakeice

  [ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.

  Language:Jupyter Notebook356

• SARBook/software

  Introduction to Synthetic Aperture Radar Using Python and MATLAB

  Language:Jupyter Notebook6128

• wangyuGithub01/Machine-Learning-Foundations

  :pencil2: Cousera Prof. 林轩田机器学习课程

  Language:Jupyter Notebook386

• niuers/Learning-From-Data-A-Short-Course

  Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin

  Language:Jupyter Notebook21785

• aniketpotabatti/Data-Science-EBooks

  This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.

  468168

• patrickloeber/MLfromscratch

  Machine Learning algorithm implementations from scratch.

  Language:Python1.3k537

• kevokevoh/LoseYourself

  R/SAS Code and Resources.

  Language:R124

• Sajidmoh/Statistics

  Mean, median, mode, range, deviation and more

  Language:Python2

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k1k

• opengeos/Awesome-GEE

  A curated list of Google Earth Engine resources

  989199

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.4k411

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2.2k139

• geekyutao/Inpaint-Anything

  Inpaint anything using Segment Anything and inpainting models.

  Language:Jupyter Notebook6.7k563

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.1k5.7k

• santisoler/cc-licenses

  Creative Commons Licenses for Github

  555302

• bnsreenu/python_for_image_processing_APEER

  https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

  Language:Jupyter Notebook466280

• dmaciel123/Worcap_2023

  Tutoriais em R para estimativa de sedimentos em suspensão usando a linguagem R

  Language:R5

• astroML/astroML

  Machine learning, statistics, and data mining for astronomy and astrophysics

  Language:Python1.1k310

• astroML/astroML-notebooks

  astroML notebooks. They are rendered at http://www.astroml.org/astroML-notebooks

  Language:Jupyter Notebook4313

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21.4k11.6k