precice - A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations

•    C++

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preCICE stands for Precise Code Interaction Coupling Environment. Its main component is a library that can be used by simulation programs to be coupled together in a partitioned way, enabling multi-physics simulations, such as fluid-structure interaction. If you are new to preCICE, please have a look at our documentation and at precice.org. You may also prefer to get and install a binary package for the latest release (master branch).

cpp simulation cpp11 high-performance-computing openfoam multiphysics coupling fluent fenics research-and-development calculix multi-physics fluid-structure-interaction computer-aided-engineering code-aster conjugate-heat-transfer co-simulation eigen3 su2 precice

TYPHON

•    Fortran

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Computational Fluid Dynamics (CFD) solver aimed to solve multi-physics problems on unstructured grids (inviscid Euler, Navier-Stokes flows, Heat transfer). F90 based. MPI, cgns, Metis libraries used.

BizTalk Sftp Adapter

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This adapter was developed for a customer who needed to transfer files independent from any choice of platform. Much concern for security, along with already invested infrastructure, where the main reasons for choosing Sftp before other protocols like Ftps.

biztalk sftp biztalk-2006 biztalk-adapters biztalk-sftp-adapter blogical

Git Large File Storage - Git extension for versioning large files

•    Go

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Git LFS is a command line extension and specification for managing large files with Git. The client is written in Go, with pre-compiled binaries available for Mac, Windows, Linux, and FreeBSD.

git-lfs git file-storage storage git-extension

Elmer finite element software

•    C

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Elmer is a finite element software for numerical solution of partial differential equations and multiphysical problems. It includes models of structural mechanics, fluid dynamics, heat transfer, electromagnetics etc. Elmer home is www.csc.fi/elmer

Contact Conductance Estimator (CoCoE)

•    Perl

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Contact Conductance Estimator (CoCoE) is a program that estimates the conductance (or resistance) between 2 surfaces in contact. It is meant to be used by designers and analysts of physical systems where heat transfer by means of contact is of importance.

Pfem

•    C

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Pfem is a python-based finite element program aimed at solving solid mechanics and heat transfer problems with flexibility, efficiency and sound object-oriented design.

FastAdapter - The bullet proof, fast and easy to use adapter library, which minimizes developing time to a fraction

•    Java

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The RecyclerView is one of the most used widgets in the Android world, and with it you have to implement an Adapter which provides the items for the view. Most use cases require the same base logic, but require you to write everything again and again. The FastAdapter is here to simplify this process. You don't have to worry about the adapter anymore. Just write the logic for how your view/item should look like, and you are done. This library has a fast and highly optimized core which provides core functionality, most apps require. It also prevents common mistakes by taking away those steps from the devs. Beside being blazing fast, minimizing the code you need to write, it is also really easy to extend. Just provide another adapter implementation, hook into the adapter chain, custom select / deselection behaviors. Everything is possible.

recyclerview fastadapter viewholder multi-select click-listeners drag-and-drop swipe recyclerview-adapter adapter android android-library android-development android-ui mikepenz

EasyTransfer - EasyTransfer is designed to make the development of transfer learning in NLP applications easier

•    Python

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EasyTransfer is designed to make the development of transfer learning in NLP applications easier. The literature has witnessed the success of applying deep Transfer Learning (TL) for many real-world NLP applications, yet it is not easy to build an easy-to-use TL toolkit to achieve such a goal. To bridge this gap, EasyTransfer is designed to facilitate users leveraging deep TL for NLP applications at ease. It was developed in Alibaba in early 2017, and has been used in the major BUs in Alibaba group and achieved very good results in 20+ business scenarios. It supports the mainstream pre-trained ModelZoo, including pre-trained language models (PLMs) and multi-modal models on the PAI platform, integrates the SOTA models for the mainstream NLP applications in AppZoo, and supports knowledge distillation for PLMs. EasyTransfer is very convenient for users to quickly start model training, evaluation, offline prediction, and online deployment. It also provides rich APIs to make the development of NLP and transfer learning easier.

transfer-learning knowledge-distillation bert nlp-applications

heat - OpenStack Orchestration (Heat)

•    Python

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Heat is a service to orchestrate multiple composite cloud applications using templates, through both an OpenStack-native REST API and a CloudFormation-compatible Query API.Why heat? It makes the clouds rise and keeps them there.

follows-standard-deprecation

Physics Defense

•    Java

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PhysicsDefense is going to be a little 3D game with a lot of physics involved using ODE, ODEJava, jME Physics 2 and jME. The goal is to keep balls from falling from an inclined plane, using obstacles, heat, cold and miscellaneous devices...

gpu-fluid - High performance OpenGL fluid solver in C++

•    C++

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This project implements a 2D fluid solver completely on the GPU using OpenGL 4.3. The solver features a marker-and-cell grid, vorticity confinement, fluid implicit particle, 3rd order Runge-Kutta advection, a conjugate gradient solver with incomplete Poisson preconditioner, and a heat diffusion/buoyancy model.

heat-templates - OpenStack Orchestration (Heat) Templates

•    Python

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OpenStack Orchestration (Heat) Templates

pyheatmagic - IPython magic command to profile and view your python code as a heat map.

•    Python

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IPython magic command to profile and view your python code as a heat map using py-heat. Please use issue tracker for reporting bugs or feature requests.

ipython ipython-magic profiler heatmap

adapter-bert

•    Python

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This repository contains a version of BERT that can be trained using adapters. Our ICML 2019 paper contains a full description of this technique: Parameter-Efficient Transfer Learning for NLP. Adapters allow one to train a model to solve new tasks, but adjust only a few parameters per task. This technique yields compact models that share many parameters across tasks, whilst performing similarly to fine-tuning the entire model independently for every task.

PyTorch-Multi-Style-Transfer - Neural Style and MSG-Net

•    Jupyter

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This repo provides PyTorch Implementation of MSG-Net (ours) and Neural Style (Gatys et al. CVPR 2016), which has been included by ModelDepot. We also provide Torch implementation and MXNet implementation. Image Style Transfer Using Convolutional Neural Networks by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge.

style-transfer deep-neural-networks real-time

EasyXRecyclerView - 主要提供了简单易用强大的RecyclerView库，包括自定义刷新加载效果、极简通用的万能适配器Adapter、万能分割线、多种分组效果、常见状态页面、item动画效果、添加多个header和footer、侧滑、拖拽、Sticky（黏性）效果、多item布局等,各模块之间灵活、解耦、通用、又能相互组合使用。

•    Java

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主要提供了简单易用强大的RecyclerView库，包括自定义刷新加载效果、极简通用的万能适配器Adapter、万能分割线、多种分组效果、常见状态页面、item动画效果、添加多个header和footer、侧滑、拖拽、Sticky（黏性）效果、多item布局等,各模块之间灵活、解耦、通用、又能相互组合使用。

recyclerview recyclerview-adapter recyclerview-item-animation recyclerview-header recyclerview-multi-type recyclerview-item-decoration recyclerview-loadmore

PaddleFL - Federated Deep Learning in PaddlePaddle

•    C++

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PaddleFL is an open source federated learning framework based on PaddlePaddle. Researchers can easily replicate and compare different federated learning algorithms with PaddleFL. Developers can also benefit from PaddleFL in that it is easy to deploy a federated learning system in large scale distributed clusters. In PaddleFL, several federated learning strategies will be provided with application in computer vision, natural language processing, recommendation and so on. Application of traditional machine learning training strategies such as Multi-task learning, Transfer Learning in Federated Learning settings will be provided. Based on PaddlePaddle's large scale distributed training and elastic scheduling of training job on Kubernetes, PaddleFL can be easily deployed based on full-stack open sourced software. Data is becoming more and more expensive nowadays, and sharing of raw data is very hard across organizations. Federated Learning aims to solve the problem of data isolation and secure sharing of data knowledge among organizations. The concept of federated learning is proposed by researchers in Google [1, 2, 3]. PaddleFL implements federated learning based on the PaddlePaddle framework. Application demonstrations in natural language processing, computer vision and recommendation will be provided in PaddleFL. PaddleFL supports the current two main federated learning strategies[4]: vertical federated learning and horizontal federated learning. Multi-tasking learning [7] and transfer learning [8] in federated learning will be developed and supported in PaddleFL in the future.

android-file-transfer-linux - Android File Transfer for Linux

•    C++

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Android File Transfer for Linux — reliable MTP client with minimalistic UI similar to Android File Transfer for Mac. It just works™.

mtp android lumia smartphone smartphone-interaction ui cli fuse c-plus-plus file-transfer file-transfer-android file-transmission fuse-interface transfer album-cover osx macosx ptp

springy-heads - Chat heads library for android

•    Java

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A chat head library for use within your apps. This includes all the UI physics and spring animations which drive multi user chat behaviour and toggling between maximized, minimized and circular arrangements. The view adapter is invoked when someone selects a chat head. In this example a String object ("head0") is attached to each chat head. You can instead attach any custom object, for e.g a Conversation object to denote each chat head. This object will represent a chat head uniquely and will be passed back in all callbacks.