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GitHub / mitmedialab / sherlock-project
This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmedialab%2Fsherlock-project
Stars: 140
Forks: 67
Open Issues: 11
License: mit
Language: Jupyter Notebook
Repo Size: 73.1 MB
Dependencies:
95
Created: almost 5 years ago
Updated: 14 days ago
Last pushed: 7 days ago
Last synced: 7 days ago
Topics: deep-learning, semantic-table-interpretation, semantic-type-detection, tables
Files
Dependencies
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- Werkzeug ==0.15.4
- absl-py ==0.7.1
- astor ==0.8.0
- boto ==2.49.0
- boto3 ==1.9.188
- botocore ==1.12.188
- certifi ==2019.6.16
- chardet ==3.0.4
- docutils ==0.14
- gast ==0.2.2
- gdown ==4.3.0
- gensim ==3.8.0
- google-pasta ==0.1.7
- grpcio ==1.22.0
- h5py ==2.9.0
- idna ==2.8
- jmespath ==0.9.4
- joblib ==0.13.2
- jupyter ==1.0.0
- line_profiler ==3.3.1
- matplotlib ==2.2.5
- nltk ==3.4.5
- numpy *
- pandas ==0.24.2
- pre-commit ==2.8.2
- protobuf ==3.19.3
- pyarrow ==2.0.0
- pyfunctional ==1.4.3
- pytest ==6.2.5
- python-dateutil ==2.8.2
- pytz ==2019.1
- regex ==2022.1.18
- requests ==2.22.0
- s3transfer ==0.2.1
- scikit-learn ==0.24.2
- scipy ==1.5.4
- setuptools *
- six ==1.12.0
- smart-open ==1.8.4
- tensorboard ==1.15.0
- tensorflow ==1.15.5
- tensorflow-estimator ==1.15.1
- termcolor ==1.1.0
- tqdm ==4.51.0
- urllib3 ==1.25.3
- wrapt ==1.11.2
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- Werkzeug ==0.15.4
- absl-py ==0.7.1
- astor ==0.8.0
- boto ==2.49.0
- boto3 ==1.9.188
- botocore ==1.12.188
- certifi ==2019.6.16
- chardet ==3.0.4
- cloudpickle ==1.6.0
- docutils ==0.14
- gast ==0.2.2
- gdown ==4.3.0
- gensim ==3.8.0
- google-pasta ==0.1.7
- grpcio ==1.34.1
- h5py ==3.1.0
- idna ==2.8
- jmespath ==0.9.4
- joblib ==1.0.0
- jupyter ==1.0.0
- line_profiler ==3.3.1
- loky ==2.9.0
- matplotlib ==2.2.5
- nltk ==3.5
- numpy ==1.21.5
- pandas ==1.2.0
- pre-commit ==2.8.2
- protobuf ==3.9.0
- pyarrow ==2.0.0
- pyfunctional ==1.4.2
- python-dateutil ==2.8.0
- pytz ==2019.1
- requests ==2.22.0
- s3transfer ==0.2.1
- scikit-learn ==0.24
- scipy ==1.5.4
- setuptools *
- six ==1.12.0
- smart-open ==1.8.4
- termcolor ==1.1.0
- tqdm ==4.51.0
- urllib3 ==1.25.3
- wrapt ==1.11.2