The flow of the relativistic imperfect fluid in two dimensions is discussed. We calculate the symmetry group of the energy-momentum tensor conservation equation in the ultrarelativistic limit. Group-i...

We describe the competitive motion of (N + 1) incompressible immiscible phases within a porous medium as the gradient flow of a singular energy in the space of non-negative measures with prescribed ma...

May 2019, Google announced TensorFlow Graphics for deep learning in computer graphics. In May 2016, Google announced its Tensor processing unit (TPU), an

Every time someone asks "Should I learn TensorFlow in 2026?" the comments are basically a funeral. The answer is always a resounding "No, PyTorch won, move on." But if you actually look at what the F...

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (⭐ 43798)

Points: 1559 | Comments: 196 | Author: jmomarty

We examine the characteristics of mean flow and scalar concentration characteristics of a turbulent boundary layer flow impinging on a cluster of tall obstacles (which can also be interpreted as a por...

Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network machine

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Project containig related material for my TensorFlow articles (⭐ 2598)

Points: 720 | Comments: 43 | Author: ShanaM

Phase-field methods have long been used to model the flow of immiscible fluids. Their ability to naturally capture interface topological changes is widely recognized, but their accuracy in simulating ...

TensorFlow Hub (also styled TF Hub) is an open-source machine learning library and online repository that provides TensorFlow model components, called

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TensorFlow Tutorials with YouTube Videos (⭐ 9276)

Measurement techniques such as Magnetic Resonance Velocimety (MRV) and Magnetic Resonance Concentration (MRC) are useful for obtaining 3D time-averaged flow quantities in complex turbulent flows, but ...

learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data

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:satellite: Simple and ready-to-use tutorials for TensorFlow (⭐ 16329)

This study experimentally investigated the influence of heat transfer from a heated hydrofoil on cavitating flow to understand the evaporation phenomenon under high-heat-flux and high-speed conditions...

2020. The first-generation Tensor chip debuted on the Pixel 6 smartphone series in 2021, and was succeeded by the Tensor G2 chip in 2022, G3 in 2023

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深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework. (⭐ 13278)

We have performed a direct numerical simulation of dilute turbulent particulate flow in a vertical plane channel, fully resolving the phase interfaces. The flow conditions are the same as those in the...

In continuum mechanics, the strain-rate tensor or rate-of-strain tensor is a physical quantity that describes the rate of change of the strain (i.e.,

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Simple tutorials using Google's TensorFlow Framework (⭐ 6023)

This contribution presents experimental study of two-dimensional pedestrian flow with the aim to capture the pedestrian behaviour within the cluster formed in front of the bottleneck. Two experiments ...

}{|\mathbf {r} |^{3}}}\right)} is a second-rank tensor (or more accurately tensor field) known as the Oseen tensor (after Carl Wilhelm Oseen). Here, r r is a

I keep seeing "Should I learn TensorFlow in 2026?" posts, and the answers are always "No, PyTorch won." But looking at the actual enterprise landscape, I think we're missing the point. 1. Research i...

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。 (⭐ 6380)

The results of Direct Numerical Simulations of the oscillatory flow over a cohesionless bed of spherical particles, mimicking sediment grains, are described. The flow around the sediment particles is ...

train deep belief networks. DistBelief was eventually refactored into TensorFlow, an open-source machine-learning software library, for which he was among

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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations. (⭐ 4444)

We propose a macroscopic model in form of a dispersion-transport equation for non-congested flow of the athletes which is coupled to a kinematic-wave model for congested flow. The model takes into acc...

stress–energy tensor is the contribution to the stress–energy tensor due to the electromagnetic field. The stress–energy tensor describes the flow of energy

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:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other lan...

Lagrangian tracking of particle pairs is of fundamental interest in a large number of environmental applications dealing with contaminant dispersion and passive scalar mixing. The aim of the present s...

networks. Keras was first independent software, then integrated into the TensorFlow library, and later added support for more. "Keras 3 is a full rewrite

PyTorch, TensorFlow, and both of their ecosystems have been developing so quickly that I thought it was time to take another look at how they stack up against one another. I've been doing some analysi...

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다 (⭐ 2130)

A numerical method based upon the immersed boundary technique for the fluid-solid coupling and on a soft-sphere approach for solid-solid contact is used to perform direct numerical simulation of the f...