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tommylees112
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A batteries-included template for Bayesian data analysis projects
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A web app to create interactive temperature and precipitation graphs for places around the world
🎓 Path to a free self-taught education in Computer Science!
GPT4All: Chat with Local LLMs on Any Device
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…
HBV lumped rainfall-runoff model in C++. Simulation and calibration available.
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
Slides for a forecasting course based on "Forecasting: Principles and Practice"
Contains scripts to generate correlated synthetic streamflow and demand timeseries and analyze the results.
Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.
A combination of utilities for PyStan both from Michael Betancourt's and Sean Talts Stan_utility as well as a few of my own
Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC
Xarray Spatio-Temporal Pytorch integration
Repository for analysis code for the 2021 paper on mass balance with LSTM/MC-LSTM
Dates and codes for forecasting Vegetation Condition (Drought) with a Hierarchical Bayesian Model
Analyzing hydrologic nonstationarities
This is the repository of deep learning for climate change.
OCR pro is a web application written in Google Apps Script, to Convert PDF and photo files to text. OCR pro use Google Drive's OCR technology Website: http:https://ocrpro.blogspot.in/
Self-study on Larry Wasserman's "All of Statistics"
The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will …
Code and models for the HESS paper on mass conservation and extrapolation with deep learning
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data