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GitHub / MedadRufus / MastersProject
This project does data analysis of parameters from an E bike, in order to do accurate range estimations.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MedadRufus%2FMastersProject
Stars: 0
Forks: 0
Open Issues: 20
License: mit
Language: Jupyter Notebook
Repo Size: 43.6 MB
Dependencies:
110
Created: over 3 years ago
Updated: almost 3 years ago
Last pushed: almost 3 years ago
Last synced: about 1 year ago
Topics: ebike, electronics
Files
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Readme
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Dependencies
environment.yml
pypi
- absl-py ==0.12.0
- affine ==2.3.0
- alembic ==1.6.5
- astunparse ==1.6.3
- autokeras ==1.0.13
- beautifulsoup4 ==4.9.3
- branca ==0.4.2
- cachetools ==4.2.2
- chardet ==4.0.0
- click ==7.1.2
- click-plugins ==1.1.1
- cliff ==3.8.0
- cligj ==0.7.1
- cmaes ==0.8.2
- cmd2 ==1.5.0
- colorama ==0.4.4
- colorlog ==5.0.1
- contextily ==1.1.0
- convertbng ==0.6.25
- descartes ==1.1.0
- fiona ==1.8.19
- flatbuffers ==1.12
- folium ==0.12.1
- future ==0.18.2
- gast ==0.4.0
- geographiclib ==1.50
- geopandas ==0.9.0
- geoplot ==0.4.1
- geopy ==2.1.0
- google-auth ==1.30.1
- google-auth-oauthlib ==0.4.4
- google-pasta ==0.2.0
- greenlet ==1.1.0
- grpcio ==1.34.1
- h5py ==3.1.0
- idna ==2.10
- influxdb-client ==1.18.0
- joblib ==1.0.1
- kaggle ==1.5.12
- keras-nightly ==2.5.0.dev2021032900
- keras-preprocessing ==1.1.2
- keras-tuner ==1.0.2
- libpysal ==4.4.0
- lightgbm ==3.2.1
- mako ==1.1.4
- mapclassify ==2.4.2
- markdown ==3.3.4
- matplotlib-venn ==0.11.6
- mercantile ==1.2.1
- momepy ==0.4.4
- munch ==2.5.0
- networkx ==2.5.1
- numpy ==1.20.3
- oauthlib ==3.1.0
- opt-einsum ==3.3.0
- optuna ==2.7.0
- osgridconverter ==0.1.3
- osmnx ==1.1.1
- pandas ==1.2.4
- pbr ==5.6.0
- prettytable ==2.1.0
- protobuf ==3.17.1
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pybng ==0.1.8
- pygeos ==0.10
- pyperclip ==1.8.2
- pyproj ==3.1.0
- python-editor ==1.0.4
- python-slugify ==5.0.2
- pyyaml ==5.4.1
- rasterio ==1.2.3
- requests ==2.25.1
- requests-oauthlib ==1.3.0
- rsa ==4.7.2
- rtree ==0.9.7
- rx ==3.2.0
- scikit-learn ==0.24.2
- scipy ==1.6.3
- simdkalman ==1.0.1
- snuggs ==1.4.7
- soupsieve ==2.2.1
- sqlalchemy ==1.4.15
- stevedore ==3.3.0
- tabulate ==0.8.9
- tensorboard ==2.5.0
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.0
- tensorflow ==2.5.0
- tensorflow-estimator ==2.5.0
- termcolor ==1.1.0
- terminaltables ==3.1.0
- text-unidecode ==1.3
- threadpoolctl ==2.1.0
- tqdm ==4.61.0
- typing-extensions ==3.7.4.3
- urllib3 ==1.26.4
- werkzeug ==2.0.1
- wrapt ==1.12.1
- xgboost ==1.4.2
requirements.txt
pypi