Mehak Khan's starred repositories
TopDeepLearning
A list of popular github projects related to deep learning
cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
MachineLearningNotes
My personal notes
awesome-vision-language-models-for-earth-observation
A curated list of awesome vision and language resources for earth observation.
PseudoLabeling
Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
Curriculum-Labeling
[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
IEEE_TGRS_MDL-RS
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.
debiased-pseudo-labeling
[CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”
SSLTransformerRS
Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award
EfficientBigEarthNet
Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification
deep-learning-papers
Deep learning paper reviews with PyTorch
transformer_for_time_series
TST - Transformer Architecture for Time Series Data
VisionTransformer-PyTorch
ViT fine-tuning and iterative erasing prediction algorithm using self-attention weights in PyTorch
Multispectral-Land-Cover-Classification
Multispectral-Land-Cover-Classification App using deep learning along with transfer learning (Resnet50) and EuroSAT dataset
Pseudo-labelling-and-knowledge-distillation-from-multiple-teachers
Pseudo-labelling and knowledge distillation from multiple teachers for remote sensing monitoring of deforestation in Ukraine
EuroSat-PyTorch
Just wrote a PyTorch code for publicly available EuroSat data set.
LULC-Mapping
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learning
LandCoverSemanticSegmentation
Land Cover Classification through semantic segmentation for MUSA-650 final project
OEM-Land-Cover-Experiments
Repository containing the source code and the experiments using the OEM Mini dataset.
ML_predict-the-power-consumption-in-10-minute-windows-of-Tetouan-city
This project predicts Tetouan City's power consumption using machine learning.