Seongkyu Lee's repositories
awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Awesome-Foundation-Models-for-Weather-and-Climate
A comprehesive survey about foundation models for weather and cliamte data understanding.
awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
calibratoR
An R package for statistical calibration of seasonal climate forecasts
chatllama
ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
Climate-Learning
How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
climate4R
An R Framework for Climate Data Access and Post-processing
ColossalAI
Making large AI models cheaper, faster and more accessible
ConvNeXt-tf
A Tensorflow Implementation of "A ConvNet for the 2020s" and "ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders" (ConvNeXt and ConvNeXtV2)
deep-learning-dynamics-paper-list
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
downscaleR
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
FFTransformer
Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
graph_weather
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
Implicit-Stacked-Autoregressive-Model-for-Video-Prediction
Implicit Stacked Autoregressive Model for Video Prediction (official implementation)
metnet
PyTorch Implementation of Google Research's MetNet and MetNet-2
MvTS
Multivariate Time Series Repository
One-sentence_Diffusion_summary
The repo for studying and sharing diffusion models.
OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Pangu-Weather
An official implementation of Pangu-Weather
SimVP-Simpler-yet-Better-Video-Prediction
The official implementation of the CVPR'2022 paper SimVP: Simpler Yet Better Video Prediction.
talk-to-chatgpt
Talk to ChatGPT AI using your voice and listen to its answers through a voice
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
udlbook
Understanding Deep Learning - Simon J.D. Prince
websites
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