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Stanford, University
- Stanford, CA
Highlights
- Pro
Stars
A shell utility to help you launch Jupyter notebooks on high-performance computing systems in a simple, secure way.
Rasteret is a library for 20x+ faster reads of GeoTIFF than Rasterio/GDAL. Interops with TorchGeo, Xarray, DuckDB, Polars
xarray-sweep is a lightweight Python utility for running parameter sweeps over Cartesian grids and collecting results as labeled xarray objects. It executes a function across all parameter combinat…
A tool for developing remote sensing datasets and models.
Testing ray tune with slurm batch submission and optuna and wandb
Live coding tutorial for using the `serc` partition of Sherlock
Python for HPC Tutorial Notebooks
A course on implementing a Bayesian workflow using Stan.
Latex code for making neural networks diagrams
How to Train Faster RCNN ResNet50 FPN V2 on Custom Dataset?
Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Demonstrating the new automatic package recursion facility in sphinx.ext.autosummary version 3.1
Repo to generate an updated Table 4 for an NSF Collaborators and Other Affiliations document
This repository contains code used to train U-Net on a multi-class segmentation dataset.
Turn a STAC catalog into a dask-based xarray
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
PyTorch extensions for fast R&D prototyping and Kaggle farming
Dotfiles or you can say my swiss army knife. Configs for creating a delightful development experience - vim + tmux + Fzf + Rg + LSP etc.
Reproducible configuration file management. See .README.md file (note the leading dot) for details!
This repository holds all course materials for the fall 2020 offering of Statistics 243 at UC Berkeley.
Automated collection and reporting of citations for used software/methods/datasets
A curated list of awesome Machine Learning frameworks, libraries and software.