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cgan

这是利用条件GAN(CGAN)实现生成MNIST图像的代码

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

convlstm

An Open Source Machine Learning Framework for Everyone

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deformable-convnets

Deformable Convolutional Networks

dgmr-pseudo-

Skilful precipitation nowcasting using deep generative models of radar

dgmr-pytorch

An implementation of Deep Generative Model of Radars from DeepMind in PyTorch

e3d_lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

experienct_with_gan

fourcastnet

Initial public release of code, data, and model weights for FourCastNet

gccm

Codes for Geographical Convergent Cross Mapping Method, It is designed for to infer causality from spatial cross-sectional data.

gnnwr

A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR)

graphcast

gwann

Geographically Weighted Artificial Neural Network

gwr-python-

Geographically Weighted Regression (GWR) in Python

keras-gan

Keras implementations of Generative Adversarial Networks.

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

metnet

PyTorch Implementation of Google Research's MetNet and MetNet-2

mgwr-python

Multiscale Geographically Weighted Regression (MGWR)

opencastkit

The open-source solutions of FourCastNet and GraphCast

pangu-weather

Pangu-Weather

predrann

predrnn

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

predrnn-

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

pysteps

Python framework for short-term ensemble prediction systems.

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

sa_convlstm

Base-line model

spade

Semantic Image Synthesis with SPADE

srgcnn

Spatial regression graph convolutional neural networks: Spatial regression analysis conducted in the manner of graph convolutional neural network. Two versions of SRGCNN model are provided in the initial post: a) global regression model (SRGCNN) and b) geographically weighted regression model (SRGCNN-GW)