itzahs

itzahs's Stars

• keras-team/keras

  Deep Learning for humans

  Language:Python61.9k1.9k12.2k19.4k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k6531858.6k

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.4k470232.1k

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.7k1121092k

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k17517643

• sshkhr/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:JavaScript2.6k27232295

• google-research/uda

  Unsupervised Data Augmentation (UDA)

  Language:Python2.2k44113312

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k6116223

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Language:Python1.6k5759333

• TorchSSL/TorchSSL

  A PyTorch-based library for semi-supervised learning (NeurIPS'21)

  Language:Python1.3k1463186

• google-research/fixmatch

  A simple method to perform semi-supervised learning with limited data.

  Language:Python1.1k1963175

• CuriousAI/ladder

  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

  Language:Python5166631142

• wherobots/GeoTorchAI

  GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

  Language:Jupyter Notebook480142236

• brain-research/realistic-ssl-evaluation

  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

  Language:Python458432098

• phelber/EuroSAT

  EuroSAT: Land Use and Land Cover Classification with Sentinel-2

  399131085

• isaaccorley/torchrs

  PyTorch implementation of popular datasets and models in remote sensing

  Language:Python35210750

• lyakaap/VAT-pytorch

  Virtual Adversarial Training (VAT) implementation for PyTorch

  Language:Python29651243

• LxMLS/lxmls-toolkit

  Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

  Language:Python2236570215

• jensleitloff/CNN-Sentinel

  Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

  Language:Python190141461

• wgcban/SemiCD

  Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

  Language:Python12111219

• TencentYoutuResearch/Classification-SemiCLS

  Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”

  Language:Python9141313

• Yasmani-Vinamagua/Curso-Python

  Curso de Python tomado en la plataforma Platzi

  Language:Python744050

• VisionLearningGroup/OP_Match

  Language:Python5821013

• JuanPabloMF/deep-learning-platzi

  Materiales del curso de Deep Learning con Pytorch de Platzi

  Language:Jupyter Notebook363134

• isaaccorley/dfc2022-baseline

  A simple baseline for the 2022 IEEE GRSS Data Fusion Contest (DFC2022)

  Language:Python303310

• stevinc/TheColorOutOfSpace

  Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"

  Language:Python18111

• jdbfsilva/rs-util

  This is a simple script to classifiy a satellite image. The script was developed for the classes of Remote Sensing at NOVA IMS, University of Lisbon, Portugal, with the purpose of helping students to start using Python in Remote Sensing classes.

  Language:Python21

• parth1620/Road_seg_dataset

  Language:Python2100

• samthiele/intro_to_software_design

  A (very basic) introduction to software design and git for scientists

  Language:Jupyter Notebook2100

• Laura-Munoz/Siniestros-viales-en-Bogot-

  Se hace una visualización espacial sobre los accidentes viales en la ciudad de Bogotá, usando mapas Coropleticos y visores Geográficos, con archivos tipo Geojson

  Language:Jupyter Notebook10