surfcao

the-art-of-command-line

Master the command line, in one page

llama

Inference code for Llama models

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.

llm.c

LLM training in simple, raw C/CUDA

pykan

Kolmogorov Arnold Networks

sioyek

Sioyek is a PDF viewer with a focus on textbooks and research papers

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

graphcast

vimGPT

Browse the web with GPT-4V and Vimium

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

StableDiffusionReconstruction

Takagi and Nishimoto, CVPR 2023

Awesome-Remote-Sensing-Foundation-Models

.emacs.d

🎉 Personal GNU Emacs configuration

open-traffic-collection

Collection of open data resources for traffic information

revisiting-self-supervised

legoino

Arduino Library for controlling Powered UP and Boost controllers

PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

RemoteCLIP

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

satclip

PyTorch implementation of SatCLIP

stylegan3-detector

ihme-modeling

GATHER compliant code for the GBD

UncertaintyInNeuralNetworks_Resources

sup3r

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

causal-flows

mesogeos

A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc

CGAN-regression

Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"

MaM

Official code for Generative Marginalization Models

riemannian-metric-learning-ot

mac

PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention

epi-rgee

rgee workshop applied to epidemiological studies ⚕️🌎🌍🌏. rgee is an R binding package for calling Google Earth Engine API from within R.