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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
663 | gis | https://github.com/zorzi-s/maprepair | [] | null | [] | [] | null | null | null | zorzi-s/maprepair | MapRepair | 22 | 3 | 2 | Python | null | Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images | zorzi-s | 2023-10-18 | 2020-07-30 | 182 | 0.120407 | null | Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images | [] | [] | 2023-05-03 | [('lydorn/mapalignment', 0.6764458417892456, 'gis', 0)] | 1 | 0 | null | 0.02 | 0 | 0 | 42 | 9 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 4 |
911 | study | https://github.com/anyscale/rl-course | [] | null | [] | [] | null | null | null | anyscale/rl-course | rl-course | 21 | 2 | 5 | Jupyter Notebook | null | null | anyscale | 2023-10-09 | 2022-03-01 | 100 | 0.21 | https://avatars.githubusercontent.com/u/51251046?v=4 | anyscale/rl-course | [] | [] | 2023-01-02 | [] | 2 | 0 | null | 0 | 1 | 0 | 23 | 13 | 0 | 0 | 0 | 1 | 0 | 90 | 0 | 4 |
696 | data | https://github.com/harangju/wikinet | [] | null | [] | [] | null | null | null | harangju/wikinet | wikinet | 10 | 5 | 3 | Jupyter Notebook | null | Python library for exploring networks of hyperlinked Wikipedia articles | harangju | 2022-12-16 | 2019-08-05 | 234 | 0.042709 | null | Python library for exploring networks of hyperlinked Wikipedia articles | [] | [] | 2022-01-25 | [('goldsmith/wikipedia', 0.7525506615638733, 'data', 0), ('mediawiki-client-tools/mediawiki-dump-generator', 0.6572245359420776, 'data', 0), ('mediawiki-client-tools/wikitools3', 0.6277413368225098, 'data', 0), ('weaviate/semantic-search-through-wikipedia-with-weaviate', 0.5428258776664734, 'data', 0), ('castorini/pyserini', 0.5286003351211548, 'ml', 0)] | 8 | 0 | null | 0 | 0 | 0 | 54 | 24 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 4 |
483 | gis | https://github.com/scisco/area | ['geometry'] | null | [] | [] | null | null | null | scisco/area | area | 95 | 21 | 3 | Python | null | Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python | scisco | 2023-11-27 | 2015-11-25 | 426 | 0.222557 | null | Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python | [] | ['geometry'] | 2018-10-31 | [] | 3 | 0 | null | 0 | 0 | 0 | 99 | 63 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 3 |
988 | time-series | https://github.com/zackeskin/pycausality | [] | null | [] | [] | null | null | null | zackeskin/pycausality | PyCausality | 85 | 25 | 6 | Python | null | Calculate predictive causality between time series using information-theoretic techniques | zackeskin | 2023-12-13 | 2018-07-26 | 287 | 0.295432 | null | Calculate predictive causality between time series using information-theoretic techniques | [] | [] | 2018-12-24 | [] | 1 | 0 | null | 0 | 0 | 0 | 67 | 62 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 3 |
1,143 | template | https://github.com/geeogi/async-python-lambda-template | [] | null | [] | [] | null | null | null | geeogi/async-python-lambda-template | async-python-lambda-template | 69 | 7 | 4 | Python | null | Build a high-performance Python function in AWS lambda using asyncio, aiohttp and aiobotocore. | geeogi | 2023-11-30 | 2020-06-27 | 187 | 0.36814 | null | Build a high-performance Python function in AWS lambda using asyncio, aiohttp and aiobotocore. | [] | [] | 2020-07-01 | [('samuelcolvin/aioaws', 0.687824547290802, 'data', 0), ('jordaneremieff/mangum', 0.6858481168746948, 'web', 0), ('nficano/python-lambda', 0.6575234532356262, 'util', 0), ('aws/aws-lambda-python-runtime-interface-client', 0.6352989673614502, 'util', 0), ('alirn76/panther', 0.6337937712669373, 'web', 0), ('aws/chalice', 0.6311405301094055, 'web', 0), ('pynamodb/pynamodb', 0.6284517049789429, 'data', 0), ('samuelcolvin/arq', 0.6250224113464355, 'data', 0), ('aio-libs/aiobotocore', 0.6242508292198181, 'util', 0), ('amzn/ion-python', 0.6108747720718384, 'data', 0), ('aio-libs/aiohttp', 0.5915722250938416, 'web', 0), ('boto/boto3', 0.5832446813583374, 'util', 0), ('pallets/quart', 0.5774820446968079, 'web', 0), ('awslabs/python-deequ', 0.5767794251441956, 'ml', 0), ('neoteroi/blacksheep', 0.5758123397827148, 'web', 0), ('developmentseed/geolambda', 0.5692357420921326, 'gis', 0), ('python-trio/trio', 0.5684411525726318, 'perf', 0), ('timofurrer/awesome-asyncio', 0.5508684515953064, 'study', 0), ('terrycain/aioboto3', 0.5498723387718201, 'util', 0), ('magicstack/uvloop', 0.5491867065429688, 'util', 0), ('klen/py-frameworks-bench', 0.5316784977912903, 'perf', 0), ('aws/aws-sdk-pandas', 0.5274588465690613, 'pandas', 0), ('airtai/faststream', 0.5201819539070129, 'perf', 0), ('joblib/joblib', 0.5088009834289551, 'util', 0), ('encode/httpx', 0.5077229142189026, 'web', 0), ('hyperopt/hyperopt', 0.5066941976547241, 'ml', 0), ('fastai/fastcore', 0.504927396774292, 'util', 0)] | 1 | 0 | null | 0 | 0 | 0 | 43 | 43 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 3 |
518 | gis | https://github.com/lydorn/mapalignment | [] | null | [] | [] | null | null | null | lydorn/mapalignment | mapalignment | 64 | 13 | 4 | Python | null | Aligning and Updating Cadaster Maps with Remote Sensing Images | lydorn | 2024-01-08 | 2018-09-05 | 281 | 0.227065 | null | Aligning and Updating Cadaster Maps with Remote Sensing Images | [] | [] | 2020-09-03 | [('zorzi-s/maprepair', 0.6764458417892456, 'gis', 0)] | 2 | 0 | null | 0 | 0 | 0 | 65 | 41 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 3 |
1,846 | sim | https://github.com/openlenia/lenia-tutorial | ['conway', 'cgol'] | Lenia Tutorial | [] | [] | null | null | null | openlenia/lenia-tutorial | Lenia-Tutorial | 33 | 4 | 2 | Jupyter Notebook | null | null | openlenia | 2023-11-30 | 2021-07-15 | 132 | 0.248654 | https://avatars.githubusercontent.com/u/84374939?v=4 | Lenia Tutorial | [] | ['cgol', 'conway'] | 2021-07-26 | [('ljvmiranda921/seagull', 0.5293267965316772, 'sim', 0)] | 1 | 0 | null | 0 | 0 | 0 | 30 | 30 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 2 |