vedaiThis repository for training tensorflow models. Dataset based on Vehicle Detection in Aerial Imagery (VEDAI)
Stars: ✭ 24 (-86.44%)
chempropFast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Stars: ✭ 75 (-57.63%)
AstronomicALAn interactive dashboard for visualisation, integration and classification of data using Active Learning.
Stars: ✭ 45 (-74.58%)
yummeYum-me is a nutrient based food recommendation system
Stars: ✭ 34 (-80.79%)
AIforEarth-API-PlatformThe AI for Earth API Platform is a distributed infrastructure designed to provide a secure, scalable, and customizable API hosting, designed to handle the needs of long-running/asynchronous machine learning model inference. It is to be used with the AI For Earth API Framework (https://github.com/microsoft/AIforEarth-API-Development).
Stars: ✭ 43 (-75.71%)
AIforEarth-API-DevelopmentThis is an API Framework for AI models to be hosted locally or on the AI for Earth API Platform (https://github.com/microsoft/AIforEarth-API-Platform).
Stars: ✭ 72 (-59.32%)
rredlistIUCN Red List API Client
Stars: ✭ 31 (-82.49%)
wdparInterface to the World Database on Protected Areas
Stars: ✭ 27 (-84.75%)
trends.earthtrends.earth - measure land change
Stars: ✭ 69 (-61.02%)
OZtreeOneZoom Tree of Life Explorer
Stars: ✭ 53 (-70.06%)
VIAMEVideo and Image Analytics for Multiple Environments
Stars: ✭ 200 (+12.99%)
linkage-mapperArcGIS tools to automate mapping and prioritization of wildlife habitat corridors
Stars: ✭ 29 (-83.62%)
RobosatSemantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Stars: ✭ 1,789 (+910.73%)
OdmA command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Stars: ✭ 3,340 (+1787.01%)
google-maps-at-88-mphGoogle Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
Stars: ✭ 93 (-47.46%)
FCNN-exampleThis is a fully convolutional neural net exercise to detect houses from aerial images.
Stars: ✭ 28 (-84.18%)
white-vestWhite Vest is a project for collecting, logging, emitting, and visualizing telemetry from a model rocket containing an inboard Raspberry Pi Zero with an Arduino receiving telemetry.
Stars: ✭ 28 (-84.18%)
earthacrosstimeTwitter bot that posts videos showcasing how random locations in the world have changed since 1984.
Stars: ✭ 28 (-84.18%)
yolov5 obbyolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测
Stars: ✭ 1,105 (+524.29%)
Vowpal wabbitVowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Stars: ✭ 7,815 (+4315.25%)
nbtransomMachines and people collaborating together through Jupyter notebooks.
Stars: ✭ 17 (-90.4%)
policy-data-analyzerBuilding a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Stars: ✭ 22 (-87.57%)
al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Stars: ✭ 28 (-84.18%)
doccano-clientA simple client wrapper for doccano API.
Stars: ✭ 52 (-70.62%)
scikit-activemlOur package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
Stars: ✭ 46 (-74.01%)
small-textActive Learning for Text Classification in Python
Stars: ✭ 241 (+36.16%)
MONAILabelMONAI Label is an intelligent open source image labeling and learning tool.
Stars: ✭ 249 (+40.68%)
AlpacaTagAlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)
Stars: ✭ 126 (-28.81%)
JCLALJCLAL is a general purpose framework developed in Java for Active Learning.
Stars: ✭ 22 (-87.57%)
trunklucatorPython module for data scientists for quick creating annotation projects.
Stars: ✭ 80 (-54.8%)
Active-Explainable-ClassificationA set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
Stars: ✭ 28 (-84.18%)
srctools for fast reading of docs
Stars: ✭ 40 (-77.4%)
molpalactive learning for accelerated high-throughput virtual screening
Stars: ✭ 110 (-37.85%)
bearidHypraptive BearID project. FaceNet for bears.
Stars: ✭ 34 (-80.79%)
arcticsealsA deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
Stars: ✭ 31 (-82.49%)
landcoverLand Cover Mapping
Stars: ✭ 180 (+1.69%)
AIforEarthDataSetsNotebooks and documentation for AI-for-Earth-managed datasets on Azure
Stars: ✭ 217 (+22.6%)