tonish
I'm a PhD student working with hyperspectral data from the field domain to airborne and spaceborne.
Israel
tonish's Stars
acgeospatial/awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Team-Neighborhood/Kalman-Filter-Image
python kalman filter for object points in image. time < 0.1ms per point
AlexeyPechnikov/pygmtsar
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
wri/sentinel-tree-cover
Image segmentations of trees outside forest
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
harskish/ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
damminhtien/deepnet-for-semantic-labeling-photogrammetry
2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset :rocket:
insarlab/MintPy-tutorial
Tutorials in Jupyter Notebook for MintPy
insarlab/MintPy
Miami InSAR time-series software in Python
isce-framework/isce2-docs
Documents and tutorials for isce2
FrancescoSaverioZuppichini/ViT
Implementing Vi(sion)T(transformer)
SHI-Labs/Compact-Transformers
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
feevos/ceecnet
source code for the task of semantic change detection (built with mxnet)
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
labmlai/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
cuge1995/awesome-time-series
list of papers, code, and other resources
MaxBenChrist/awesome_time_series_in_python
This curated list contains python packages for time series analysis
LendelTheGreat/SCALAE
SCALAE: Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.