req notes
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@@ -7,10 +7,22 @@ numpy>=1.24.0
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python-dotenv>=1.0.0
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python-dotenv>=1.0.0
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psutil>=5.9.0
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psutil>=5.9.0
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tensorboard>=2.15.0
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tensorboard>=2.15.0
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torch>=2.0.0
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torchvision>=0.15.0
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torchaudio>=2.0.0n
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scikit-learn>=1.3.0
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scikit-learn>=1.3.0
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matplotlib>=3.7.0
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matplotlib>=3.7.0
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seaborn>=0.12.0
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seaborn>=0.12.0
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wandb>=0.16.0
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wandb>=0.16.0
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ta>=0.11.0
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ccxt>=4.0.0
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dash-bootstrap-components>=2.0.0
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# NOTE: PyTorch is intentionally not pinned here to avoid pulling NVIDIA CUDA deps on AMD machines.
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# Install one of the following sets manually depending on your hardware:
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#
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# CPU-only (AMD/Intel, no NVIDIA CUDA):
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# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
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#
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# NVIDIA GPU (CUDA):
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# Visit https://pytorch.org/get-started/locally/ for the correct command for your CUDA version.
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# Example (CUDA 12.1):
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# pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
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