Categories - ML - wpsze

30 posts in total

ML | Diffusion Models (Denoising diffusion probabilistic models)

ML | Diffusion Models (Denoising diffusion probabilistic models)

Diffusion Models Diffusion Models are generative models, meaning that they are used to generate data similar to the data on which they are trained. Fundamentally, Diffusion Models work by destroying t

2024-12-15

ML

#AI #ML #pytorch #Diffusion #UNet

ML | U-Net

ML | U-Net

U-Net The U-Net architecture follows an encoder-decoder cascade structure, where the encoder gradually compresses information into a lower-dimensional representation. Then the decoder decodes this inf

2024-12-13

ML

#AI #ML #pytorch #U-Net

ML | GNN Graph Neural Network Model

ML | GNN Graph Neural Network Model

Overview of Graph Neural Networks (GNNs) Graph Neural Networks (GNNs) are a specialized type of neural network designed to process and analyze graph-structured data. Unlike traditional neural networks

2024-12-12

ML

#NWP #ECMWF #AI #ML #pytorch #GNN

ML | PyTorch

ML | PyTorch

PyTorch 2017 年初由 Facebook 開源的另一套建立在 Torch 之上的深度學習框架 PyTorch 因其語法簡潔優雅、概念直觀和易上手的特性，甫推出便迅速走紅，儼然已成為瓜分深度學習市場的有力競爭者。 PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Automatic d

2024-12-12

ML

#PINN #AI #DeepONet #ML #pytorch

ML | DeepONet

ML | DeepONet

DeepONet DeepONet is a novel deep learning architecture designed to approximate nonlinear operators, which are mappings from one function space to another. Developed by researchers at Brown University

2024-10-24

ML

#PINN #AI #DeepONet #ML

ML | Automatic Differentiation

ML | Automatic Differentiation

In mathematics and computer algebra, automatic differentiation (auto-differentiation, autodiff, or AD), also called algorithmic differentiation, computational differentiation, is a set of techniques t

2024-10-22

ML

#PINN #AI #DeepONet #ML

ML | Gaussian-Process (GP)

ML | Gaussian-Process (GP)

In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that every finite collection of those random variable

2024-10-21

ML

#PINN #AI #DeepONet #ML

ML | ONNX Open Neural Network Exchange

ML | ONNX Open Neural Network Exchange

ONNX Open Neural Network Exchange ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning

2024-09-23

ML

#AI

ML | Physics-informed neural networks (PINN)

PINN Physics-informed neural networks (PINNs) represent a significant advancement in the integration of machine learning with physical laws, particularly in the context of solving differential equatio

2024-06-26

ML

#PINN #AI #DeepONet #ML

ML | JAX

JAX JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. With its updated

2024-06-25

ML

#PINN #AI