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agriitsc

Prototype-based method for agricultural image time series classification.

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

book-ml-sem

《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering

bt-unet

BT-Unet: A self-supervised learning framework

caco

official code for CVPR 2023 paper 'Change-Aware Sampling and Contrastive Learning for Satellite Images'

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

cleveralgorithms

Clever Algorithms: Nature-Inspired Programming Recipes

crc4docker

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

cv-models

Computer Vision Models

datasets

Datasets for deep learning with satellite & aerial imagery

decur

DeCUR: decoupling common & unique representations for multimodal self-supervision.

elects

featup

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

generative-models

Some demo codes for generative models using pytorch!

geoblender

Tutorials for making 3D-looking maps with Blender and QGIS

geomesa-tutorials

Tutorials and examples for working with GeoMesa

graph_algorithm

grass

hands-on-meta-learning-with-python

Hands-On Meta Learning with Python

hydro-interpretive-dl

Implementation for our paper "Interpretive deep learning for uncovering flooding mechanism"

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

landcover

Land Cover Mapping

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

matrixslow

A simple deep learning framework in pure python for purpose of learning in DL

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mmaml-classification

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nn-by-numpy

cnn