A list of Precipitation Nowcasting papers and related resources.

The official code repository of ShaSpec model from CVPR 2023 [paper](https://arxiv.org/pdf/2307.14126) "Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling"

The official repository of BFSR: "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]

offical code for MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning

The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"

Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region

A collection of awesome resources image-to-image translation.

Techniques for deep learning with satellite & aerial imagery

[CVPR'23] Masked and Adaptive Transformer for Exemplar Based Image Translation (MATEBIT)

Official JAX implementation of MAGVIT: Masked Generative Video Transformer

[MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation"

Starter Kit for the NeurIPS 2023 Weather4cast competition

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

Code to generate ice-water segmentation predictions using trained convolutional neural network models.

The Segmentation Tool is a graphical user interface (GUI) tool developed using PyQt5 and based on the Facebook Segment Anything Model. It uses token points to semi-automate the process of image seg…

利用Segment Anything(SAM)模型进行快速标注

Official repository for InstaFormer: Instance-aware Image-to-Image Translation with Transformer (CVPR 2022)

How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

deep learning for image processing including classification and object-detection etc.

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Complex Network Modeling

A general framework for video prediction in PyTorch.

Implementation of the Hybrid Perception Block and Dual-Pruned Self-Attention block from the ITTR paper for Image to Image Translation using Transformers