Project structure of: kyegomez/MultiModalMamba

• MultiModalMamba Customizable Python AI automation and fusion
  • example.py Python script uses libraries, creates input tensors, initializes model, and prints shape.
  • mm_mamba Multi-modal fusion in PyTorch for diverse data.
    • __init__.py Imports and lists MultiModalMambaBlock, MMM classes.
    • block.py MultiModal Mamba Fusion in PyTorch
    • model.py Multi-modal modeling with fusion techniques.
  • model_example.py Imports torch, creates MMM model with parameters, passes x and img.
  • pyproject.toml Configures Python project "mmm-zeta" with dependencies and dev tools.
  • README.md Versatile AI model: Vision Transformer + Mamba, fast & customizable.
  • requirements.txt Specifies required Python package versions.
  • scripts Automates Python testing, deployment, maintenance in '/scripts/'
    • auto_tests_docs Automates Python testing and docs with GPT-4.
      • auto_docs.py Auto-generates Markdown docs for classes using OpenAI model.
      • auto_docs_functions.py Generate Markdown docs with OpenAI model for zeta.ops functions.
      • auto_tests.py Automated test & doc generation with GPT-4 in parallel threads.
      • auto_tests_functions.py Automates documentation/testing for Python modules using gpt-4.
      • docs.py Professional docs, markdown, multi-head attention, test best practices.
      • mkdocs_handler.py Generate ".md" file list from directory.
    • code_quality.sh Automates Python code style fixes and formatting in tests directory.
    • delpycache.py Delete all pycache directories in specified directory.
    • get_package_requirements.py Extracts package names and versions from requirements.txt for installation.
    • requirementstxt_to_pyproject.py Automates pyproject.toml dependencies' version updates efficiently.
    • test_name.sh Renames tests with 'test_' prefix, colored output.
    • tests.sh Tests all Python scripts in directory.
  • tests MultiModal MambaBlock tests with fusion and return_embeddings.
    • test_benchmarks.py Benchmark MambaBlock and Transformer processing times
    • test_blocks.py MultiModalMambaBlock test fixture tests.
    • test_model.py MMM model test fixture with fusion methods and return_embeddings flag testing.