Buckets:
| # CA19: Advanced Experimental Memory Systems in AI | |
| # Core dependencies for comprehensive RAG system with GPU memory optimization | |
| # Core scientific computing | |
| torch>=2.0.0 | |
| torchvision>=0.15.0 | |
| numpy>=1.24.0 | |
| matplotlib>=3.7.0 | |
| seaborn>=0.12.0 | |
| pandas>=2.0.0 | |
| scikit-learn>=1.3.0 | |
| psutil>=5.9.0 | |
| tqdm>=4.65.0 | |
| # LangChain ecosystem for RAG systems | |
| langchain>=0.1.0 | |
| langchain-community>=0.0.20 | |
| langchain-core>=0.1.0 | |
| langchain-google-genai>=1.0.0 | |
| langgraph>=0.0.20 | |
| langsmith>=0.0.70 | |
| # Google Gemini API integration | |
| google-generativeai>=0.3.0 | |
| # Vector stores and embeddings | |
| chromadb>=0.4.0 | |
| faiss-cpu>=1.7.4 | |
| pinecone-client>=2.2.4 | |
| sentence-transformers>=2.2.0 | |
| # Memory profiling and optimization | |
| memory-profiler>=0.60.0 | |
| pympler>=0.9 | |
| py-spy>=0.3.14 | |
| # GPU memory management | |
| py3nvml>=0.2.7 | |
| nvidia-ml-py3>=7.352.0 | |
| # Visualization and analysis | |
| plotly>=5.15.0 | |
| dash>=2.12.0 | |
| bokeh>=3.2.0 | |
| # Data handling and storage | |
| h5py>=3.9.0 | |
| zarr>=2.16.0 | |
| lmdb>=1.4.0 | |
| # Configuration and utilities | |
| pyyaml>=6.0 | |
| click>=8.1.0 | |
| rich>=13.5.0 | |
| fire>=0.5.0 | |
| pydantic>=2.0.0 | |
| dataclasses-json>=0.6.0 | |
| # Async support | |
| aiohttp>=3.9.0 | |
| # Memory management and caching | |
| redis>=5.0.0 | |
| memray>=1.10.0 | |
| # Monitoring and logging | |
| wandb>=0.16.0 | |
| mlflow>=2.8.0 | |
| tensorboard>=2.15.0 | |
| # Testing framework | |
| pytest>=7.4.0 | |
| pytest-benchmark>=4.0.0 | |
| pytest-asyncio>=0.21.0 | |
| # Jupyter notebook support | |
| jupyter>=1.0.0 | |
| ipywidgets>=8.0.0 | |
| notebook>=6.5.0 | |
| # Advanced visualization | |
| streamlit>=1.28.0 | |
| gradio>=4.0.0 | |
| # Document processing | |
| pypdf>=3.0.0 | |
| python-docx>=0.8.11 | |
| beautifulsoup4>=4.12.0 | |
| # Text processing and NLP | |
| nltk>=3.8.0 | |
| spacy>=3.6.0 | |
| transformers>=4.30.0 | |
| # Performance optimization | |
| numba>=0.57.0 | |
| cython>=0.29.0 | |
| # Development tools | |
| black>=23.0.0 | |
| flake8>=6.0.0 | |
| mypy>=1.4.0 | |
| pre-commit>=3.3.0 | |
| # Optional: Advanced features (install as needed) | |
| # deepspeed>=0.9.0 # For distributed training | |
| # accelerate>=0.21.0 # For model acceleration | |
| # bitsandbytes>=0.41.0 # For quantization | |
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