SimplCommerce
Ecommerce platform
An ecommerce system built on .NET Core with modular design and support for multiple databases
A simple, cross platform, modulith ecommerce system built on .NET
4k stars
306 watching
2k forks
Language: C#
last commit: 9 months ago
Linked from 5 awesome lists
angularjsaspnetcorecross-platformcsharpdotnetecommerceentity-framework-corehacktoberfestmodularmodulithshopping-cart
thangchung/awesome-dotnet-core
quozd/awesome-dotnet
jasonhua95/awesome-dotnet-core
uhub/awesome-c-sharp
ara3d/extra-awesome-dotnetRelated projects:
| Repository | Description | Stars |
|---|---|---|
 findalexli/scigraphqa | A dataset and benchmarking framework for evaluating the performance of large language models on multi-turn question answering tasks for scientific graphs. | 38 |
 akirafukui/vqa-mcb | A software framework for training and deploying multimodal visual question answering models using compact bilinear pooling. | 222 |
 noagarcia/roll-videoqa | A PyTorch-based model for answering questions about videos based on unseen scenes and storylines | 19 |
 c2qa/bosonic-qiskit | An extension of Qiskit to simulate hybrid boson-qubit systems within quantum computing frameworks | 52 |
 zcyang/imageqa-san | This project provides code for training image question answering models using stacked attention networks and convolutional neural networks. | 108 |
 dikiaap/ama | A Q�S project where developers can ask me anything about code. | 1 |
 guoyang9/unk-vqa | A VQA dataset with unanswerable questions designed to test the limits of large models' knowledge and reasoning abilities. | 3 |
 gt-vision-lab/vqa_lstm_cnn | A Visual Question Answering model using a deeper LSTM and normalized CNN architecture. | 377 |
 edgedesigncz/phpqa | Analyze PHP code and detect various issues with one command | 565 |
 hengyuan-hu/bottom-up-attention-vqa | An implementation of a VQA system using bottom-up attention, aiming to improve the efficiency and speed of visual question answering tasks. | 755 |
 hajifkd/qsharp-vscode | An extension that integrates Q# programming language with Visual Studio Code for C# development | 0 |
 milvlg/prophet | An implementation of a two-stage framework designed to prompt large language models with answer heuristics for knowledge-based visual question answering tasks. | 270 |
 jayleicn/tvqa | PyTorch implementation of video question answering system based on TVQA dataset | 172 |
 lagrangedev/lagrange.core | An NTQQ protocol implementation with C# support | 2,210 |
 pureqml/qmlcore | A toolchain that translates QML into JavaScript, enabling the development of web applications with declarative UIs. | 334 |