# 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