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# Additional requirements for Markov-LSTM Hybrid models |
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# Install with: pip install -r requirements_hybrid.txt |
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# Core ML framework |
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torch>=2.0.0,<3.0.0 |
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# Numerical operations |
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numpy>=1.24.0,<2.0.0 |
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# Progress bars for training |
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tqdm>=4.65.0 |
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# Already in requirements.txt but listed for completeness: |
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# django>=4.2.0 |
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# djangorestframework>=3.14.0 |
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# Optional: CUDA support (Linux/Windows with NVIDIA GPU) |
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# torch-cuda # Uncomment if using GPU |
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# Development/Research tools (optional) |
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# jupyter>=1.0.0 # For notebooks |
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# matplotlib>=3.7.0 # For visualizations |
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# seaborn>=0.12.0 # For pretty plots |
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# tensorboard>=2.13.0 # For training monitoring |