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NOVA - SN68

High-throughput ML-driven drug screening.

Accelerating drug discovery, powered by Bittensor.

NOVA harnesses global compute and collective intelligence to navigate huge unexplored chemical spaces, uncovering breakthrough compounds at a fraction of the cost and time.

System Requirements

  • Ubuntu 24.04 LTS (recommended)
  • Python 3.12
  • CUDA 12.4 (for GPU support)
  • Sufficient RAM for ML model operations
  • Internet connection for network participation

Installation and Running

  1. Clone the repository:
git clone <repository-url>
cd nova
  1. Prepare your .env file as in example.env:
# General configs
SUBTENSOR_NETWORK="ws://localhost:9944" # or your chosen node
DEVICE_OVERRIDE="cpu" # None to run on GPU

# Github configs - FOR MINERS
GITHUB_REPO_NAME="repo-name"
GITHUB_REPO_BRANCH="repo-branch"
GITHUB_TOKEN="your_token"
GITHUB_REPO_OWNER="repo-owner"
GITHUB_REPO_PATH="" # path within repo or ""

# For validators
VALIDATOR_API_KEY="your_api_key"
  1. Install dependencies:

    • For CPU:
    ./install_deps_cpu.sh
    
    • For CUDA 12.4:
    ./install_deps_cu124.sh
    
  2. Run:

# Activate your virtual environment:
source .venv/bin/activate

# Run your script:
# miner:
python3 neurons/miner.py --wallet.name <your_wallet> --wallet.hotkey <your_hotkey> --logging.info

# validator:
python3 neurons/validator.py --wallet.name <your_wallet> --wallet.hotkey <your_hotkey> --logging.debug

Configuration

The project uses several configuration files:

  • .env: Environment variables and API keys
  • requirements/: Dependency specifications for different environments
  • Command-line arguments for runtime configuration
  • PSICHIC/runtime_config.py: runtime configurations for PSICHIC model

For Validators

DM the NOVA team to obtain an API key.

Support

For support, please open an issue in the repository or contact the NOVA team.

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