We turn natural language descriptions of behaviors into machine-executable code

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image

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

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

Convolutional neural network for hyperspectral images classification via keras

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Techniques for deep learning with satellite & aerial imagery

Buildings detection from satellite imagery (8 and 3 bands images) using 2 object detectors : YOLO and Faster RCNN

The first open Federated Learning framework implemented in C++ and Python.

A list of Moroccan Darija Datasets grouped by name, data source, region and size.

Curated list of project-based tutorials

fork of https://sourceforge.net/p/coma-ce

Fine-tune BERT models to classify Arabic text by different dialects.

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

The data generator used to produce the datasets in the paper "The Valentine Experiment Suite for Schema Matching"

Kaggle courses and tutorials to get you started in the Data Science world.

Contains mainly notebooks of transformers code implemented with pytorch