A collection of research papers on Diffusion Models for Weather Forecasting.

Geospatial library wheels for Python on Windows.

Teach Video Diffusion Model with Latent Physical Phenomenon Knowledge

[CSUR] A Survey on Video Diffusion Models

一本系统地教你将深度学习模型的性能最大化的战术手册。

Line-By-Line Radiative Transfer Model by Atmospheric and Environmental Research

Mapping of greenhouse gases with EMIT.

Custom implementation of Corrleation Module

The Pytorch code of the TEA module (Temporal Excitation and Aggregation for Action Recognition)

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

Official PyTorch Implementation of MotionSqueeze, ECCV 2020

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

To facilitate the research of invisible gas detection, we introduce Gas-DB, an extensive open-source gas detection database including about 1.3K well-annotated RGB-thermal images with eight variant…

Offical codes for "An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary".

3D ResNets for Action Recognition (CVPR 2018)

👀 MinGW 32bit and 64bit version of OpenCV compiled on Windows. Including OpenCV 3.3.1, 3.4.1, 3.4.1-x64, 3.4.5, 3.4.6, 3.4.7, 3.4.8-x64, 3.4.9, 4.0.0-alpha-x64, 4.0.0-rc-x64, 4.0.1-x64, 4.1.0, 4.1.…

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

LaTeX sources for notes for the maths courses at Cambridge.

Jupyter notebook tutorials for MMSegmentation

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

深度学习经典、新论文逐段精读

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

HITRAN Application Programming Interface (HAPI)

Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models 🌈🛰️

This code is used for methane plume detection from Multi spectral/Multi band satellites data.