# Core ML and Vision Libraries
torch==2.8.0
torchvision==0.23.0
transformers==4.55.1
clip @ git+https://github.com/openai/CLIP.git@dcba3cb2e2827b402d2701e7e1c7d9fed8a20ef1

# Computer Vision and Video Processing
opencv-python==4.12.0.88
av==15.0.0
Pillow>=10.0.0

# Scientific Computing
numpy==2.2.6
scipy==1.16.1
pandas==2.3.1
scikit-learn==1.7.1

# Deep Learning Utilities
accelerate==1.10.0
einops==0.8.1
timm==1.0.19
safetensors==0.6.2

# Training and Experimentation
wandb==0.21.1
tqdm==4.67.1

# Jupyter and Visualization
jupyter>=1.0.0
matplotlib==3.10.5
seaborn==0.13.2
ipywidgets>=8.0.0

# Text Processing
tokenizers==0.21.4
sentencepiece==0.2.1
ftfy==6.3.1
regex==2025.7.34

# Utilities
click==8.2.1
filelock==3.18.0
huggingface-hub==0.34.4
protobuf==6.31.1
requests>=2.25.0
packaging>=21.0

# Network and HTTP
urllib3>=1.26.0
certifi>=2021.0.0

# System and Process Management
psutil>=5.8.0
platformdirs>=2.0.0

# Data Validation
pydantic==2.11.7
pydantic-core==2.33.2

# Additional ML Libraries
networkx==3.5
joblib==1.5.1
threadpoolctl==3.6.0

# Optional: CUDA Support (uncomment if using CUDA)
# nvidia-cublas-cu12==12.8.4.1
# nvidia-cuda-cupti-cu12==12.8.90
# nvidia-cuda-nvrtc-cu12==12.8.93
# nvidia-cuda-runtime-cu12==12.8.90
# nvidia-cudnn-cu12==9.10.2.21
# nvidia-cufft-cu12==11.3.3.83
# nvidia-cufile-cu12==1.13.1.3
# nvidia-curand-cu12==10.3.9.90
# nvidia-cusolver-cu12==11.7.3.90
# nvidia-cusparse-cu12==12.5.8.93
# nvidia-cusparselt-cu12==0.7.1
# nvidia-nccl-cu12==2.27.3
# nvidia-nvjitlink-cu12==12.8.93
# nvidia-nvtx-cu12==12.8.90