Metadata-Version: 2.1
Name: comfyui-nnt
Version: 0.0.1
Summary: Neural Network Toolkit (NNT) for ComfyUI is an extensive set of custom ComfyUI nodes for designing, training, and fine-tuning neural networks. This toolkit allows defining models, layers, training workflows, transformers, and tensor operations in a visual manner using nodes.
Home-page: https://github.com/inventorado/ComfyUI_NNT
Requires-Python: >=3.10
Requires-Dist: numpy
Requires-Dist: pandas>=1.3.0
Requires-Dist: matplotlib>=3.4.0
Requires-Dist: scikit-learn>=1.0.0
Requires-Dist: transformers>=4.30.0
Requires-Dist: datasets>=2.12.0
Requires-Dist: onnx>=1.14.0
Requires-Dist: safetensors>=0.3.1
Requires-Dist: statsmodels>=0.13.0
Requires-Dist: scipy>=1.7.0
Requires-Dist: seaborn>=0.11.0
Requires-Dist: graphviz>=0.20.0
Requires-Dist: torchview>=0.2.0
Requires-Dist: Pillow>=9.0.0
Requires-Dist: shap==0.41.0
Requires-Dist: slicer>=0.0.7  # Required for shap
Requires-Dist: numba>=0.55.1  # Required for shap
Requires-Dist: cloudpickle>=2.2.0  # Required for shap
Requires-Dist: librosa>=0.10.0
Requires-Dist: joblib>=1.1.0
Requires-Dist: h5py>=3.7.0
Requires-Dist: huggingface-hub>=0.16.0
Requires-Dist: tqdm>=4.65.0  # Progress bars
Requires-Dist: protobuf
