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The code for Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
A GNN-RNN approach for harnessing geospatial and temporal information: application to crop yield prediction
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
Ai-to-pptx是一个使用AI技术(DeepSeek)制作PPTX的助手，支持在线修改和导出PPTX。 主要功能: 1 使用ChatGPT等大语言模型来生成大纲 2 生成的内容允许用户再次修改 3 生成PPTX的时候可以选择不同的模板 4 支持在线修改PPTX的文字内容，样式，图片等 5 支持导出PPTX，PDF，PNG等多种格式
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers
CSSegmentation: An Open Source Continual Semantic Segmentation Toolbox Based on PyTorch.
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
Crop Yield Prediction with Deep Learning
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"
A collection of the existing end-to-end cloud removal model
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Continual Learning papers list, curated by ContinualAI
[ICLR 24 Oral/Outstanding Paper Honorable Mention Award 🎉]
A cloud removal dataset and a diffusion-based cloud removal method
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
Continual Learning tutorials and demo running on Google Colaboratory.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Awesome Incremental Learning
This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Le…
Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.