{"payload":{"pageCount":7,"repositories":[{"type":"Public","name":"ml_weather_tutorial","owner":"informatics-lab","isFork":false,"description":"Tutorial using machine learning for weather science research","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":19,"starsCount":4,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-19T10:18:28.037Z"}},{"type":"Public","name":"cssp_china_wp5.6_binder","owner":"informatics-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":12,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-29T15:53:17.277Z"}},{"type":"Public","name":"spaceapps-2023-mo","owner":"informatics-lab","isFork":false,"description":"Resources for the NASA Space Apps Challenge 2023, hosted by the Met Office in Exeter","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":1,"issueCount":3,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-11T12:24:45.908Z"}},{"type":"Public","name":"spaceapps-2022-mo-bootcamp","owner":"informatics-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":4,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-17T13:21:55.743Z"}},{"type":"Public","name":"consolidated-learning","owner":"informatics-lab","isFork":false,"description":"General purpose repo for capturing consolidated learnings","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":3,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-10T15:41:53.720Z"}},{"type":"Public","name":"DIMEX","owner":"informatics-lab","isFork":true,"description":"DIMEX fork to experiment with API design","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":1,"issueCount":0,"starsCount":1,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-02T16:44:56.958Z"}},{"type":"Public","name":"precip_rediagnosis","owner":"informatics-lab","isFork":false,"description":"Project to use ML to re-diagnose precipitation fields from ensemble model fields","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":53,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-08T17:27:39.625Z"}},{"type":"Public","name":"ukrse_2022_mlops_walkthrough","owner":"informatics-lab","isFork":false,"description":"Material for UK RSE 2022 Conference Walkthrough on MLOps for RSEs","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":12,"starsCount":15,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-26T23:22:51.135Z"}},{"type":"Public","name":"pip_nlp_twittter_sentiment_analysis","owner":"informatics-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-22T13:48:49.164Z"}},{"type":"Public","name":"binder_rstudio_jupyterlab_example","owner":"informatics-lab","isFork":false,"description":"An example of making R and Python analyses available in the same MyBinder instance","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":2,"starsCount":1,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-20T12:24:42.695Z"}},{"type":"Public","name":"microsoft-hackathon-rail-network","owner":"informatics-lab","isFork":false,"description":"Front-end for Microsoft Hackathon","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-22T16:32:29.705Z"}},{"type":"Public","name":"shapecutter","owner":"informatics-lab","isFork":false,"description":"Cut data out of raster arrays based on Shapely Polygons","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-22T09:09:18.042Z"}},{"type":"Public","name":"ceds2022_ml_tutorial","owner":"informatics-lab","isFork":false,"description":"Repository for material relating to the ML tutorial at CEDS 2022 conference","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-07T20:18:06.958Z"}},{"type":"Public","name":"edr_explorer","owner":"informatics-lab","isFork":false,"description":"Interface with an EDR Server and explore the its contents from a Python session","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":13,"starsCount":1,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-19T14:03:30.507Z"}},{"type":"Public","name":"Time-Series-Forecasting","owner":"informatics-lab","isFork":true,"description":"Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":18,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-08T16:22:24.307Z"}},{"type":"Public","name":"PangeoLectures","owner":"informatics-lab","isFork":false,"description":"Training material on the principles and practices of The Pangeo Way","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":6,"starsCount":2,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-04-29T13:50:56.474Z"}},{"type":"Public","name":"demo-microservices","owner":"informatics-lab","isFork":false,"description":"A toy example demonstrating microservices","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-13T09:41:40.394Z"}},{"type":"Public","name":"dummy_data","owner":"informatics-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-10T15:38:59.216Z"}},{"type":"Public","name":"aml-jupyterhub","owner":"informatics-lab","isFork":false,"description":"Code work and experiments to integrate Azure Machine Learning with JupyterHub.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":18,"starsCount":6,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-26T16:55:54.112Z"}},{"type":"Public","name":"dashboarding-examples","owner":"informatics-lab","isFork":false,"description":"Examples of creating simple dashboards with different common dashboarding technologies.","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-07-30T15:11:21.331Z"}},{"type":"Public","name":"covid19-dataset-documentation","owner":"informatics-lab","isFork":false,"description":"Documentation for the Met Office COVID-19 response datasets","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":3,"forksCount":5,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-07-13T08:06:29.651Z"}},{"type":"Public","name":"metadatabase","owner":"informatics-lab","isFork":false,"description":"Query collections of files by metadata using mongoDB","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-06-21T16:17:10.361Z"}},{"type":"Public","name":"tiledb_netcdf","owner":"informatics-lab","isFork":false,"description":"An adapter to convert NetCDF files to TileDB arrays","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":13,"starsCount":30,"forksCount":7,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-06-11T16:10:50.454Z"}},{"type":"Public","name":"cchd","owner":"informatics-lab","isFork":false,"description":"An example of a Climate Change Hazard Dashboard (CCHD).","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-05-06T14:58:54.744Z"}},{"type":"Public","name":"causality","owner":"informatics-lab","isFork":false,"description":"Repository for examples of using causal analysis with climate data","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":3,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-04-28T08:47:29.488Z"}},{"type":"Public","name":"UsingClimateData","owner":"informatics-lab","isFork":false,"description":"Tutorial material on using climate data for investigating climate-related impacts.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-03-24T16:13:32.872Z"}},{"type":"Public","name":"intake_informaticslab","owner":"informatics-lab","isFork":false,"description":"Intake catalogues and drivers which provide access to hundreds of terabytes of Met Office data.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":5,"forksCount":4,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-02-11T15:46:53.772Z"}},{"type":"Public","name":"azure_datasets","owner":"informatics-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-02-08T21:48:29.431Z"}},{"type":"Public","name":"intro_python_data_analysis","owner":"informatics-lab","isFork":false,"description":"A series of tutorial notebooks on getting started with Python for Data Analysis","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-12-08T17:16:56.217Z"}},{"type":"Public","name":"ukv_shapefile_reproject","owner":"informatics-lab","isFork":false,"description":"Example of reprojecting shapefile geometries to fit data (e.g. UKV) using Iris and GeoPandas","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-12-01T18:30:36.954Z"}}],"repositoryCount":194,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"mirror","text":"Mirrors"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}