MuhammedM294

MuhammedM294's Stars

• stac-utils/pystac

  Python library for working with any SpatioTemporal Asset Catalog (STAC)

  Language:Python368121

• dlr-eoc/ukis-metrics

  numpy-based implementation of common performance metrics for semantic image segmentation

  Language:Python8

• MWieland/s1s2_water

  S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images

  Language:Jupyter Notebook255

• cloudtostreet/Sen1Floods11

  Language:Jupyter Notebook16745

• SLAM-Handbook-contributors/slam-handbook-public-release

  Release repo for our SLAM Handbook

  2.1k89

• radiantearth/stac-spec

  SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

  Language:JavaScript805179

• TUW-GEO/eo-datascience-cookbook

  Language:Jupyter Notebook61

• Lightning-AI/torchmetrics

  Machine learning metrics for distributed, scalable PyTorch applications.

  Language:Python2.2k413

• rawmarshmellows/pytorch-unet-resnet-50-encoder

  Language:Python14445

• mradovic38/football_analysis

  A comprehensive tool for processing and analyzing video footage, producing detailed insights into gameplay and player performance enhancing game understanding and performance evaluation.

  Language:Jupyter Notebook8618

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85.4k23k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.3k4.1k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k985

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.5k325

• phlippe/uvadlc_notebooks

  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

  Language:Jupyter Notebook2.6k600

• Harry24k/bayesian-neural-network-pytorch

  PyTorch implementation of bayesian neural network [torchbnn]

  Language:Python50575

• RobRomijnders/weight_uncertainty

  Implementing Bayes by Backprop

  Language:Python18341

• sandialabs/bcnn

  3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793

  Language:Python6219

• IntelLabs/bayesian-torch

  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

  Language:Python55873

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.5k2.5k

• yuta-hi/pytorch_bayesian_unet

  Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

  Language:Python6017

• tha-santacruz/BayesianUNet

  Pytorch Bayesian UNet model for segmentation and uncertainty prediction

  Language:Python213

• excalidraw/excalidraw

  Virtual whiteboard for sketching hand-drawn like diagrams

  Language:TypeScript88.5k8.4k

• TUW-GEO/Equi7Grid

  Definition of the Equi7Grid - a spatial reference optimized for global high-resolution raster data.

  Language:Python6313

• SebastianHafner/DS_UNet

  Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.

  Language:Python5910

• gahogg/Leetcode-Solutions

  The repository for all of the solutions to the Leetcode problems solved on my YouTube, Instagram and TikTok

  Language:Java527129

• chiphuyen/dmls-book

  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

  2.4k354

• AllenDowney/ThinkBayes2

  Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

  Language:Jupyter Notebook1.8k1.5k

• TUW-GEO/pygeobase

  Base class definition for I/O interfaces of poets°

  Language:Python45

• TUW-GEO/pygeogrids

  Python package for generation and handling of discrete global grids

  Language:Python2416