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GitHub / omegaji / teddy_grizzly_black-bear-classifier
this is a basic image classifier made from using fast.ai library which uses the resnet30 to train the neural networks
Stars: 0
Forks: 0
Open Issues: 6
License: None
Language: Python
Repo Size: 45.9 KB
Dependencies:
44
Created: almost 5 years ago
Updated: almost 5 years ago
Last pushed: almost 2 years ago
Last synced: about 1 year ago
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Dependencies
app/requirements.txt
pypi
- absl-py ==0.6.1
- aiofiles ==0.4.0
- aiohttp ==3.5.4
- alabaster ==0.7.10
- asn1crypto ==0.24.0
- astor ==0.7.1
- astropy ==3.0.2
- async-timeout ==3.0.1
- attrs ==18.1.0
- autopep8 ==1.4.4
- fastai ==1.0.55
- fastcache ==1.0.2
- fastprogress ==0.1.21
- filelock ==3.0.4
- jsonschema ==2.6.0
- jupyter ==1.0.0
- jupyter-client ==5.2.3
- jupyter-console ==5.2.0
- jupyter-core ==4.4.0
- jupyterlab ==0.32.1
- jupyterlab-launcher ==0.10.5
- notebook ==5.5.0
- numba ==0.38.0
- numexpr ==2.6.5
- numpy ==1.16.4
- numpydoc ==0.8.0
- nvidia-ml-py3 ==7.352.0
- packaging ==17.1
- pandas ==0.23.0
- pandocfilters ==1.4.2
- path.py ==11.0.1
- pathlib2 ==2.3.2
- patsy ==0.5.0
- requests ==2.18.4
- rope ==0.10.7
- ruamel-yaml ==0.15.35
- starlette ==0.12.4
- statsmodels ==0.9.0
- sympy ==1.1.1
- tables ==3.4.3
- tblib ==1.3.2
- unicodecsv ==0.14.1
- urllib3 ==1.22
- uvicorn ==0.8.4