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94 lines
1.5 KiB
Plaintext
94 lines
1.5 KiB
Plaintext
# Python 3.10 compatible versions
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# Core ML and Data Science Libraries
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tensorflow>=2.17.0,<2.18.0
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keras>=3.2.0
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numpy>=1.24.0,<1.26.0
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pandas>=2.0.0,<2.2.0
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scikit-learn>=1.3.0,<1.6.0
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# Text Processing
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tensorflow-io-gcs-filesystem>=0.31.0
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# Visualization
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matplotlib>=3.7.0,<3.10.0
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seaborn>=0.12.0,<0.13.0
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# Data Handling
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pickle5>=0.0.11
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json5>=0.9.0
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tqdm>=4.67.1
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# Optional: If you want to download data from Kaggle
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kaggle>=1.7.4
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# Optional: For enhanced data processing
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bleach>=6.2.0
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charset-normalizer>=3.4.2
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urllib3>=2.5.0
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# Development and Jupyter Support (if needed)
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jupyter>=1.0.0
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ipython>=8.0.0
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# Additional TensorFlow dependencies
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h5py>=3.8.0
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protobuf>=4.21.0,<5.0.0
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absl-py>=1.4.0
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astunparse>=1.6.3
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gast>=0.4.0
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google-pasta>=0.2.0
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libclang>=18.1.1
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opt-einsum>=3.3.0
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termcolor>=2.1.0
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typing-extensions>=4.5.0
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wrapt>=1.14.0
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grpcio>=1.48.0,<2.0.0
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tensorboard>=2.17.0,<2.18.0
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ml-dtypes>=0.4.0
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# Date and Time
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python-dateutil>=2.8.2
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# For regularization and advanced features
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scipy>=1.10.0,<1.16.0
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joblib>=1.5.1
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threadpoolctl>=3.6.0
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# Web frameworks
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fastapi==0.104.1
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uvicorn[standard]==0.24.0
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Flask==2.3.3
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Flask-CORS==4.0.0
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# Database drivers
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motor==3.3.2
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pymongo==4.6.0
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# Blockchain & Web3
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web3==6.15.1
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eth-account==0.10.0
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# IPFS client (optional)
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ipfshttpclient==0.8.0a2
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# Environment & configuration
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python-dotenv==1.0.0
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# Data validation
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pydantic==2.5.3
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# Authentication & security
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python-jose==3.3.0
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PyJWT==2.8.0
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passlib[bcrypt]==1.7.4
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cryptography==41.0.7
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# HTTP requests
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requests==2.31.0
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# Docker
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docker
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flask_jwt_extended
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