Pinned Repositories
2022_Intro_Python
Course Repository for "Introduction to Scientific Programming with Python" (UNIL, FGSE, Fall 2022)
2023_MOOC_ECMWF
Contribution to ECMWF's MOOC on "Machine Learning in Weather & Climate"
2km-flat-channel_eg
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
ai-models-panguweather
ai-vegetation-fuel
Predicting Fuel Load from earth observation data using Machine Learning
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
Pangu-Weather
An official implementation of Pangu-Weather
python-workshop
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
sqgturb
Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
EnsembleXinXin's Repositories
EnsembleXinXin/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
EnsembleXinXin/CMA-AIM-GFS-Fengqing-V1.0
EnsembleXinXin/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
EnsembleXinXin/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
EnsembleXinXin/Diffusion_4_downscaling
Diffusion Probabilistic Downscaling Model
EnsembleXinXin/dinosaur
EnsembleXinXin/dl_book
legend
EnsembleXinXin/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
EnsembleXinXin/Do-data-driven-models-beat-numerical-models-in-forecasting-weather-extremes-
Comapnion code to the manuscript "Do data-driven models beat numerical models in forecasting weather extremes? A comparison of IFS HRES, Pangu-Weather and GraphCast"
EnsembleXinXin/dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
EnsembleXinXin/enstools
Python library for processing ensemble weather forecasts
EnsembleXinXin/FengWu
EnsembleXinXin/google-research
Google Research
EnsembleXinXin/graphcast
EnsembleXinXin/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
EnsembleXinXin/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
EnsembleXinXin/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
EnsembleXinXin/icenet-paper
Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
EnsembleXinXin/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
EnsembleXinXin/ImageCaptioning.pytorch
image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)
EnsembleXinXin/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
EnsembleXinXin/makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
EnsembleXinXin/miles-guess
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
EnsembleXinXin/neuralgcm
Hybrid ML + physics model of the Earth's atmosphere
EnsembleXinXin/PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
EnsembleXinXin/SHTOOLS
SHTOOLS - Spherical Harmonic Tools
EnsembleXinXin/stable-diffusion
A latent text-to-image diffusion model
EnsembleXinXin/subseasonal_toolkit
Subseasonal forecasting models
EnsembleXinXin/Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt
EnsembleXinXin/weatherbench2
A benchmark for the next generation of data-driven global weather models.