ML | Genesis
What is Genesis? https://github.com/Genesis-Embodied-AI/Genesis Genesis is a physics platform designed for general purpose Robotics/Embodied AI/Physical AI applications. It is simultaneously multip
31 posts in total
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
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
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
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
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
ML | Automatic Differentiation
Automatic Differentiation In mathematics and computer algebra, automatic differentiation (auto-differentiation, autodiff, or AD), also called algorithmic differentiation, computational differentiation
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
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
