kclosu

kclosu's Stars

• denik/vwoptimize

  Drop-in wrapper for Vowpal Wabbit that adds hyper-parameter tuning, more performance metrics, text preprocessing, reading from csv/tsv, feature extraction and k-fold cross-validation

  Language:Python213

• VowpalWabbit/coba

  Contextual bandit benchmarking

  Language:Python4819

• metarank/ranklens

  Dataset for training ML ranking models

  Language:Scala182

• improve-ai/python-ranker

  Contextual Multi-Armed Bandit Platform for Scoring, Ranking & Decisions

  Language:Python211

• qdrant/qdrant

  Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  Language:Rust19.7k1.3k

• DP6/Marketing-Attribution-Models

  Python Class created to address problems regarding Digital Marketing Attribution.

  Language:Python29680

• mursideyarkin/customer_lifetime_value_prediction

  The main purpose of this repository is to model and forecast customer lifetime value.

  Language:Jupyter Notebook11

• Nikhilkohli1/Digital-Marketing-Analytics

  This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

  Language:Jupyter Notebook19959

• CLIMADA-project/climada_python

  Python (3.8+) version of CLIMADA

  Language:Jupyter Notebook297117

• bigopensky/web-harvester

  WEB-Harvester to get eco data or weather infos

  Language:Perl1

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.6k4k

• jremillard/images-to-osm

  Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.

  Language:Python50184

• mscross/pysplit

  A package for HYSPLIT air parcel trajectory analysis.

  Language:Python14880

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.5k11.7k

• ecohydro/CropMask_RCNN

  Segmenting center pivot agriculture to monitor crop water use in drylands with Mask R-CNN and Landsat satellite imagery

  Language:Jupyter Notebook293

• metno/kvalobs

  Open Source Software for the Quality Control of Geophysical Observations

  Language:C++41

• gbvalor/bufr2synop

  Decode and get meteorological reports in Traditional Alphanumeric Code format from binary BUFR.

  Language:C2611

• theteapot/metservice-synoptic-codes

  For parsing WMO codes

  Language:JavaScript1

• LADI-Dataset/ladi-overview

  Overview of the Low Altitude Disaster Imagery (LADI) Dataset

  Language:Python296

• nclwater/shear-web

  Kampala Flood Risk and Weather Data Dashboard

  Language:Python21

• windsor718/EnsembleApproachForFlashFloodForecasting

  Language:Python51

• ARPA-SIMC/agrolib

  Agrolib are a set of libraries for agrometeorological modeling and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.

  Language:C++111

• ARPA-SIMC/CRITERIA1D

  CRITERIA 1D is a one-dimensional agro-hydrological model. It includes soil water fluxes, crop development and crop water needs, a GIS interface (CRITERIA GEO) for geographical simulations and tools to manage crop and soil parameters. The software is written in C++ using Qt libraries, so cross-platform building is possible (Windows, Linux, MacOS)

  Language:C++121

• pySTEPS/pysteps

  Python framework for short-term ensemble prediction systems.

  Language:Python452165

• ARPA-SIMC/WeatherGenerator

  A suite of programs aimed at producing temporal series based on the observational dataset. Daily data of precipitation, maximum temperature and minimum temperature are produced. Two different algorithms have been developed: 1) generation of single point weather data series. 2) generation of a spatially coherent two-dimensional data series.

  Language:C++2

• pwcazenave/tappy

  Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.

  Language:Python2415

• ecmwf/skinnywms

  Lightweight WMS server for serving maps of netCDF and GRIB data

  Language:Python4622

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k640

• fnardi/GFPLAIN

  Global FloodPLAIN mapping using a geomorphic algorithm

  Language:Python257

• kkraoj/lfmc_from_sar

  Map live fuel moisture using remote sensing and deep learning

  Language:Python309