surfcao

Awesome-Remote-Sensing-Foundation-Models

berd_r_courses

Slides and materials for the OHSU OCTRI BERD R courses

BIMT

Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.

BRAILS

DL-based Building Information Modeling (BIM).

chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

CogVideo

Text-to-video generation.

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

deep_feature_reweighting

deepul

dotfiles

Configurations files for linux goodies

downscaleCMIP6

downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project

DragGAN

Code for DragGAN (SIGGRAPH 2023)

earth-forecasting-transformer

Official implementation of Earthformer

Extremes

fortuna

A Library for Uncertainty Quantification.

gansformer

Generative Adversarial Transformers

GDKL

Code that accompanies the paper Guided Deep Kernel Learning

hyperbo

llm.c

LLM training in simple, raw C/CUDA

llmtime

Neural-Process-Family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

osm-finder

A "line-network" geolocation tool created for Bellingcat's September 2022 Hackathon: https://www.bellingcat.com/resources/2022/10/06/automated-map-searches-scam-busting-tools-and-twitter-search-translations-here-are-the-results-of-bellingcats-second-hackathon/

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pixel-constrained-cnn-pytorch

Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting :art:

pykan

Kolmogorov Arnold Networks

satclip

PyTorch implementation of SatCLIP

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

spectral_ssm

StableStudio

Community interface for generative AI

STRbook

Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie