Updated readme.
This commit is contained in:
@@ -21,7 +21,7 @@ Originally a focused spin-off of [ComfyUI-Data-Analysis](https://github.com/HowT
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- Use pre-built model nodes for major architecture such as ResNet, LSTM, GRU, Transformer, or create your own model from various model nodes.
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- Perform tensor operations like `add`, `gather`, `scatter`, `where`, etc.
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- Support for processing text (e.g. tokenization, embedding) to feed to a model
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- Featuring **200 nodes** as of March 28, 2025.
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---
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## Example Workflows
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@@ -25,19 +25,13 @@ def process_import_lines(file_path: str) -> Dict[str, int]:
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with open(file_path, "r") as f:
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for line in f:
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if "import" in line:
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if line.startswith("from typing"):
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continue
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module_name = re.sub(r"^.*import ", "", line).strip()
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if module_name.startswith("SNS"):
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increment_count(category_counts, "Seaborn")
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elif module_name.startswith("MPL"):
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increment_count(category_counts, "Matplotlib")
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if module_name.startswith("SP"):
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increment_count(category_counts, "SentencePiece")
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elif module_name.startswith("Pt"):
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increment_count(category_counts, "PyTorch")
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elif module_name.startswith("Pandas"):
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increment_count(category_counts, "Pandas")
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elif module_name.startswith(("CDA", "Python")):
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increment_count(category_counts, "Misc")
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elif module_name.startswith("Numpy"):
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increment_count(category_counts, "NumPy")
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else:
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increment_count(category_counts, "Misc")
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