Ecosyste.ms: Repos
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GitHub / mims-harvard / TDC
Therapeutics Commons: Artificial Intelligence Foundation for Therapeutic Science
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mims-harvard%2FTDC
Stars: 930
Forks: 167
Open Issues: 38
License: mit
Language: Jupyter Notebook
Repo Size: 67.6 MB
Dependencies:
373
Created: over 3 years ago
Updated: 7 days ago
Last pushed: 12 days ago
Last synced: 12 days ago
Commit Stats
Commits: 644
Authors: 30
Mean commits per author: 21.47
Development Distribution Score: 0.618
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/mims-harvard/TDC
Topics: artificial-intelligence, benchmarks, bioinformatics, biology, biomedicine, biotech, cheminformatics, chemistry, datasets, deep-learning, drug-discovery, machine-learning, medicine, precision-medicine, therapeutics
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Dependencies
- absl-py 0.12.0
- blas 1.0
- boost 1.74.0
- boost-cpp 1.74.0
- brotlipy 0.7.0
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- grpcio 1.36.1
- icc_rt 2019.0.0
- icu 68.1
- idna 2.10
- importlib-metadata 3.10.0
- intel-openmp 2020.2
- joblib 1.0.1
- jpeg 9b
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- actions/checkout v3 composite
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- ubuntu 18.04 build
- nvidia/cuda 9.0-cudnn7-runtime-ubuntu16.04 build
- DeepPurpose *
- furo *
- networkx *
- pandas_flavor *
- rdkit-pypi *
- rxn4chemistry *
- setuptools *
- absl-py *
- baselines *
- networkx *
- numpy *
- tensorflow *
requirements.txt
pypi
- fuzzywuzzy *
- numpy *
- pandas *
- rdkit-pypi *
- requests *
- scikit-learn *
- seaborn *
- tqdm *
requirements_ci.txt
pypi
- fuzzywuzzy *
- networkx *
- numpy *
- pandas *
- rdkit-pypi *
- requests *
- scikit-learn *
- torch *
- tqdm *
setup.py
pypi