Sandeep Poudel snpoudel
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Cornell University
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06:32
(UTC -04:00) - https://snpoudel.github.io/
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SynHydro provides a suite of different methods for generating synthetic timeseries, with a focus on hydrologic applications.
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control...
Learn Claude Code best practices through hands-on hydrology Python exercises — built for the water science research community
Woodwell multidomain timeseries prediction AI FCS project
An agentic skills framework & software development methodology that works.
Python package for inferring reservoir water extent, level and storage volume.
Lightweight library for probabilistic forecast evaluation and optimization.
Pywr-DRB simulations using data from Sandeep
A global community dataset for large-sample hydrology
Ensemble forecast verification in Python using reliability diagrams for streamflow data.
Differentiable hydrological modeling with neural network-based physical parameter learning.
Python script for a process-based HBV rainfall-runoff hydrological model.
Hydrological modeling and climate change impact assessment on key design statistics of small hydropower projects in Nepal.
Python script for a LSTM based rainfall-runoff hydrological model trained on multiple basins.
Water management model for the Delaware River Basin, based on the pywr simulation framework
Python library to train neural networks with a strong focus on hydrological applications.
A deep learning architecture that combines LSTM with attention to improve streamflow prediction in ungauged basins (PUB).
There is large uncertainty in hydrological change projections; this project explores Bayesian pooling techniques to improve the accuracy of change in design flood predictions under climate change.
Uncertainty in design-flood change projection using process-based, deep learning and hybrid models.
User Manual (Documentation Guide) for Stochastic Weather Generator v2.0