Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / puspanjalis / Time-Series-Forcasting
Machine Learning Projects on Time Series
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/puspanjalis%2FTime-Series-Forcasting
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 8.42 MB
Dependencies:
121
Created: about 3 years ago
Updated: about 2 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: machine-learning, timeseries-analysis, timeseries-forecasting
Files
Loading...
Readme
Loading...
Dependencies
environment.yml
pypi
- absl-py ==0.12.0
- astunparse ==1.6.3
- attrs ==21.2.0
- autoflake ==1.4
- autopep8 ==1.5.7
- bayesian-optimization ==1.2.0
- beautifultable ==1.0.0
- cachetools ==4.2.2
- chardet ==3.0.4
- cleanipynb ==0.4.2
- cloudpickle ==1.6.0
- cmdstanpy ==0.9.5
- convertdate ==2.3.2
- cycler ==0.10.0
- cython ==0.29.17
- ephem ==3.7.7.1
- fbprophet ==0.7
- flatbuffers ==1.12
- gast ==0.3.3
- gluonts ==0.6.0
- google-auth ==1.30.0
- google-auth-oauthlib ==0.4.4
- google-pasta ==0.2.0
- grpcio ==1.32.0
- h5py ==2.10.0
- hijri-converter ==2.1.1
- holidays ==0.11.1
- idna ==2.10
- importanize ==0.7.0
- importlib-metadata ==4.0.1
- jinja2 ==2.11.0
- joblib ==1.0.1
- jsonschema ==3.2.0
- jupytext ==1.11.2
- keras-preprocessing ==1.1.2
- kiwisolver ==1.3.1
- korean-lunar-calendar ==0.2.1
- lightgbm ==3.2.0
- llvmlite ==0.36.0
- lunarcalendar ==0.0.9
- markdown ==3.3.4
- markdown-it-py ==1.1.0
- markupsafe ==1.1.1
- matplotlib ==3.4.0
- mdit-py-plugins ==0.2.8
- mxnet ==1.8.0.post0
- nbformat ==5.1.3
- numba ==0.53.1
- numpy ==1.19.5
- oauthlib ==3.1.0
- opt-einsum ==3.3.0
- pandas ==1.2.0
- pathlib2 ==2.3.5
- patsy ==0.5.1
- pillow ==8.2.0
- pmdarima ==1.8.0
- protobuf ==3.16.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycodestyle ==2.7.0
- pydantic ==1.4
- pyflakes ==2.3.1
- pymeeus ==0.5.11
- pyparsing ==2.4.7
- pyrsistent ==0.17.3
- pystan ==2.19.1.1
- python-dateutil ==2.8.0
- python-graphviz ==0.8.4
- pytz ==2021.1
- pyyaml ==5.4.1
- requests ==2.25.0
- requests-oauthlib ==1.3.0
- rsa ==4.7.2
- scikit-learn ==0.24.0
- scipy ==1.4.0
- setuptools-git ==1.2
- shap ==0.39.0
- slicer ==0.0.7
- statsmodels ==0.12.1
- tabulate ==0.8.0
- tensorboard ==2.5.0
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.0
- tensorflow ==2.4.0
- tensorflow-estimator ==2.4.0
- termcolor ==1.1.0
- threadpoolctl ==2.1.0
- toml ==0.10.2
- toolz ==0.11.1
- tqdm ==4.59.0
- typing-extensions ==3.7.4.3
- ujson ==1.35
- urllib3 ==1.26.4
- werkzeug ==1.0.1
- wrapt ==1.12.1
- xgboost ==1.1.0
- zipp ==3.4.1
requirements.txt
pypi
- Jinja2 ==2.11.3
- bayesian-optimization ==1.2
- beautifultable ==1.0
- fbprophet ==0.7
- gluonts ==0.6
- holidays ==0.11.1
- lightgbm ==3.2
- matplotlib ==3.4
- mxnet *
- numpy *
- pandas ==1.2
- pmdarima ==1.8
- pydantic ==1.6.2
- pystan ==2.19.1.1
- python-dateutil ==2.8.0
- requests ==2.25
- scikit-learn ==0.24
- scipy ==1.4
- shap ==0.39
- statsmodels ==0.12.1
- tabulate ==0.8
- tensorflow ==2.9.0
- tqdm ==4.59
- xgboost ==1.1