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requirements.txt
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48 lines (38 loc) · 788 Bytes
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# Python dependencies for ANNS Thesis
# Generated: 2024
# Python >= 3.8 required
# Core scientific computing
numpy==1.24.3
pandas==2.0.3
scipy==1.11.1
# Visualization
matplotlib==3.7.2
seaborn==0.12.2
# Machine Learning / Embeddings
torch==2.0.1
torchvision==0.15.2
scikit-learn==1.3.0
sentence-transformers==2.2.2
# ANN Libraries
faiss-cpu==1.7.4
hnswlib==0.7.0
# Data formats
h5py==3.9.0
# Configuration and reproducibility
pyyaml==6.0.1
# Benchmarking and profiling
psutil==5.9.5
memory-profiler==0.61.0
# Utilities
tqdm==4.65.0
tabulate==0.9.0
# Testing (optional)
pytest==7.4.0
pytest-cov==4.1.0
ollama==0.16.3
chromadb
# in case wanting to run the "real-world-scenarios"
# ones download ollama chromadb
# in terminal:
# ollama pull nomic-embed-text
# ollama pull llama3.2