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NexQuant/requirements.txt
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Xu Yang 515fb50ce2 feat: filter feature which is high correlation to former implemented features (#145)
* filter feature which is high correlation to former implemented features

* use multiprocessing to calculate IC and some minor fix
2024-08-02 14:41:17 +08:00

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# Requirements for runtime.
pydantic-settings
typer[all]
cython
scipy
python-Levenshtein
scikit-learn
filelock
loguru-mypy
loguru
fire
fuzzywuzzy
openai
ruamel-yaml
torch
torch_geometric
tabulate # Convert pandas dataframe to markdown table to make it more readable to LLM
numpy # we use numpy as default data format. So we have to install numpy
pandas # we use pandas as default data format. So we have to install pandas
pandarallel # parallelize pandas
feedparser
matplotlib
langchain
tiktoken
pymupdf # Extract shotsreens from pdf
# azure identity related
azure.identity
# PDF related
pypdf
azure-core
azure-ai-formrecognizer
# TODO: dependencies for implementing factors.
# I think it is for running insteading of implementing. The dependency should be in
statsmodels
# PDF related
pypdf
azure-core
azure-ai-formrecognizer
# factor implementations
tables
# azure identity related
azure.identity
# CI Fix Tool
tree-sitter-python
tree-sitter
# Jupyter related
jupyter
python-dotenv
# infrastructure related.
docker