A Python library for solving ice sheet modeling problems using Physics Informed Neural Networks
python -m pip install PINNICLE
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License
LGPL-2.1
Python >=3.9
Dependencies (9)
deepxdemat73matplotlibnetCDF4==1.7.2h5py==3.14.0numpypandasscikit-learnscipy
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CMAD: A Lightweight Framework for Extreme Spatio-Temporal Anomaly Detection
python -m pip install cmad
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License
iHARP
Authors Maloy Kumar Devnath, Sudip Chakraborty, Vandana P. Janeja
Python >=3.8
Key features
✔ Unsupervised (no training labels required) ✔ Works with **images or generic 2D time-series arrays** ✔ Supports arbitrary spatial dimensions (no fixed size) ✔ Adaptive IQR-based thresholding ✔ Binary anomaly masks (`1 = anomaly, 0 = normal`) ✔ CPU-only by default (GPU-ready via PyTorch) ✔ Suitable for large spatio-temporal datasets
Dependencies (4)
numpytorchopencv-pythonmatplotlib
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Spatial-Link: A framework for detecting statistically significant linkages from spatio-temporal data.
python -m pip install spatial-link
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License
iHARP
Authors Maloy Kumar Devnath, Sudip Chakraborty, Vandana P. Janeja
Python >=3.9
Dependencies (2)
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CausalNN package is the implementation of the TS-CausalNN causal discovery method for time series data.
python -m pip install causalnn
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License
Not declared
Authors Omar Faruque and Jianwu Wang
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Python tools for validating research claims against scientific literature.
python -m pip install research-claim-validator
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License
Not declared
Authors Tolulope Ale
Python >=3.10
Dependencies (109)
anthropic>=0.18.0; extra == "llm"openai>=1.12.0; extra == "llm"pydantic>=2.4.0; extra == "llm"pydantic-settings>=2.0.0; extra == "llm"prometheus-client>=0.19.0; extra == "llm"python-dotenv>=1.0.0; extra == "llm"tenacity>=8.2.3; extra == "llm"arxiv>=2.1.0; extra == "retrieval"Deprecated>=1.2.13; extra == "retrieval"einops>=0.7.0; extra == "retrieval"faiss-cpu>=1.7.4; extra == "retrieval"httpx>=0.24.0; extra == "retrieval"langgraph>=0.0.20; extra == "retrieval"neo4j>=5.14.0; extra == "retrieval"numpy>=1.24.0; extra == "retrieval"pandas>=2.0.0; extra == "retrieval"pypdf>=6.6.2; extra == "retrieval"requests>=2.31.0; extra == "retrieval"sentence-transformers>=2.2.0; extra == "retrieval"spacy>=3.7.0; extra == "retrieval"structlog>=24.1.0; extra == "retrieval"torch>=2.0.0; extra == "retrieval"tqdm>=4.65.0; extra == "retrieval"aiofiles>=23.0.0; extra == "corpus"anthropic>=0.18.0; extra == "corpus"arxiv>=2.1.0; extra == "corpus"Deprecated>=1.2.13; extra == "corpus"einops>=0.7.0; extra == "corpus"faiss-cpu>=1.7.4; extra == "corpus"httpx>=0.24.0; extra == "corpus"langgraph>=0.0.20; extra == "corpus"neo4j>=5.14.0; extra == "corpus"numpy>=1.24.0; extra == "corpus"openai>=1.12.0; extra == "corpus"pandas>=2.0.0; extra == "corpus"prometheus-client>=0.19.0; extra == "corpus"pydantic>=2.4.0; extra == "corpus"pydantic-settings>=2.0.0; extra == "corpus"pypdf>=6.6.2; extra == "corpus"python-dotenv>=1.0.0; extra == "corpus"requests>=2.31.0; extra == "corpus"sentence-transformers>=2.2.0; extra == "corpus"spacy>=3.7.0; extra == "corpus"structlog>=24.1.0; extra == "corpus"tenacity>=8.2.3; extra == "corpus"torch>=2.0.0; extra == "corpus"tqdm>=4.65.0; extra == "corpus"aiofiles>=23.0.0; extra == "api"fastapi>=0.104.0; extra == "api"opentelemetry-api>=1.22.0; extra == "api"opentelemetry-exporter-otlp>=1.22.0; extra == "api"opentelemetry-instrumentation-fastapi>=0.43b0; extra == "api"opentelemetry-sdk>=1.22.0; extra == "api"prometheus-client>=0.19.0; extra == "api"python-multipart>=0.0.6; extra == "api"sse-starlette>=1.8.2; extra == "api"uvicorn[standard]>=0.24.0; extra == "api"pandas>=2.0.0; extra == "ui"sseclient-py>=1.8.0; extra == "ui"streamlit>=1.30.0; extra == "ui"aiofiles>=23.0.0; extra == "full"anthropic>=0.18.0; extra == "full"arxiv>=2.1.0; extra == "full"Deprecated>=1.2.13; extra == "full"einops>=0.7.0; extra == "full"faiss-cpu>=1.7.4; extra == "full"fastapi>=0.104.0; extra == "full"httpx>=0.24.0; extra == "full"langgraph>=0.0.20; extra == "full"neo4j>=5.14.0; extra == "full"numpy>=1.24.0; extra == "full"openai>=1.12.0; extra == "full"opentelemetry-api>=1.22.0; extra == "full"opentelemetry-exporter-otlp>=1.22.0; extra == "full"opentelemetry-instrumentation-fastapi>=0.43b0; extra == "full"opentelemetry-sdk>=1.22.0; extra == "full"pandas>=2.0.0; extra == "full"prometheus-client>=0.19.0; extra == "full"pydantic>=2.4.0; extra == "full"pydantic-settings>=2.0.0; extra == "full"pypdf>=6.6.2; extra == "full"python-dotenv>=1.0.0; extra == "full"python-multipart>=0.0.6; extra == "full"requests>=2.31.0; extra == "full"sentence-transformers>=2.2.0; extra == "full"spacy>=3.7.0; extra == "full"sse-starlette>=1.8.2; extra == "full"sseclient-py>=1.8.0; extra == "full"streamlit>=1.30.0; extra == "full"structlog>=24.1.0; extra == "full"tenacity>=8.2.3; extra == "full"torch>=2.0.0; extra == "full"tqdm>=4.65.0; extra == "full"uvicorn[standard]>=0.24.0; extra == "full"black>=23.12.1; extra == "dev"build>=1.0.0; extra == "dev"flake8>=7.0.0; extra == "dev"ipython>=8.20.0; extra == "dev"mypy>=1.8.0; extra == "dev"pytest>=7.4.3; extra == "dev"pytest-asyncio>=0.23.3; extra == "dev"pytest-cov>=4.1.0; extra == "dev"pytest-mock>=3.12.0; extra == "dev"responses>=0.24.1; extra == "dev"twine>=5.0.0; extra == "dev"wheel>=0.42.0; extra == "dev"datasets>=2.16.0; extra == "notebooks"ipykernel>=6.25.0; extra == "notebooks"ipywidgets>=8.1.0; extra == "notebooks"
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Construct interpretable macro-neighborhoods from spatial data using adjacency-aware regional aggregation.
python -m pip install macroneighborhoods
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License
MIT
Authors Chhaya Kulkarni
Python >=3.10
Dependencies (11)
pandasnumpygeopandasshapelyscipylibpysalesdageovoronoipyarrowmatplotlibcontextily
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Ice-PatchNet: A patch (segmented images) based CNN workflow
python -m pip install icepatchnet
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License
iHARP
Authors Sai Vikas Amaraneni, Maloy Kumar Devnath, Shalini Srinivasa, Chhaya Kulkarni, Sudip Chakraborty, Vandana P. Janeja
Python >=3.8
Dependencies (5)
numpytorchopencv-pythonmatplotlibtqdm
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Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
python -m pip install rictsc
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License
GPL
Authors Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire, Aneesh Subramanian, Md Osman Gani
Python >=3.11
Dependencies (10)
numpy==1.26.4pandas==2.2.3scikit-learn==1.5.1sktime==0.37.0tigramite==5.2.7.0xarraygeopandasmatplotlibscipynetcdf4
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Python package for 'XCheck: A Consistency-based validation framework of englacial layers annotations' across consecutive and intersecting radargram pairs using dot-product similarity.
python -m pip install xcheck
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License
MIT
Authors Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja
Python >=3.8
Dependencies (5)
numpymatplotlibscipypandascartopy
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