| # PALADIM Dependencies | |
| # Pre Adaptive Learning Architecture of Dual-Process Hebbian-MoE Schema | |
| # Core | |
| torch>=2.0.0 | |
| transformers>=4.30.0 | |
| # LoRA/Plastic Memory | |
| peft>=0.5.0 | |
| # Distributed training | |
| accelerate>=0.20.0 | |
| # Evaluation | |
| scikit-learn>=1.2.0 | |
| # Utilities | |
| numpy>=1.24.0 | |
| tqdm>=4.65.0 | |
| # Experiment tracking (optional) | |
| wandb>=0.15.0 | |
| # Additional utilities | |
| einops>=0.6.0 | |
| scipy>=1.10.0 | |
| # Web Control Panel & API | |
| flask>=3.0.0 | |
| flask-cors>=6.0.0 | |
| # ONNX Export (for cross-platform deployment) | |
| onnx>=1.12.0 | |
| onnxruntime>=1.13.0 | |
| onnxscript>=0.1.0 | |
| # Optional: For advanced optimization | |
| # onnxruntime-tools>=1.7.0 | |
| # FSDP Training (for huge models across multiple GPUs) | |
| # Requires PyTorch 2.0+ with CUDA | |
| # Install: pip install torch>=2.0.0 --index-url https://download.pytorch.org/whl/cu118 | |
| # Dataset loading | |
| datasets>=2.14.0 | |