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A reimplementation of Stable Diffusion 3.5 in pure PyTorch
A deep learning library built from scratch with complex neural networks examples built on top for learning purposes.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
The Ecoacoustic Dataset from Arctic North Slope Alaska
Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop
Causal inference with spatio-temporal data in R
Model Context Protocol Servers
AI资源工具导航站收录 / Find all the best AI directories
Analysing satellite imagery of the Jan 2025 Southern California wildfires
A library for scientific machine learning and physics-informed learning
Sky-T1: Train your own O1 preview model within $450
Chat2Geo delivers a ChatGPT-like experience tailored for remote-sensing-based geospatial analysis. Its mission is to democratize geospatial insights at scale by harnessing cutting-edge AI technolog…
My configuration files for Emacs, Karabiner, macOS, and more.
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Python tool for converting files and office documents to Markdown.
Xiaomi Home Integration for Home Assistant
Pre-trained Gaussian processes for Bayesian optimization
Emacs configuration for authors who research, write and publish articles, books and websites.
OpenCV+YOLO+LLAVA powered video surveillance system
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
A Change Detection Repo Standing on the Shoulders of Giants
The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Create beautiful diagrams just by typing notation in plain text.
Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data