sfy's starred repositories
ClickHouse
ClickHouse® is a real-time analytics DBMS
Docker-Kubernetes
Basics of Docker and Kubernetes
eShopOnContainers
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.
azure-sdk-for-net
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.
papers-we-love
Papers from the computer science community to read and discuss.
cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
dnn-fpga-anomaly-detection
Deep Neural Network implementation on SoC FPGA for real-time anomaly detection using LSTM network
systemverilog-cocotb-testing
Experimentation of the "cocotb" approach using SystemVerilog for the design of a D Flip-Flop and Python for its test bench. The main goal is to test the time constraints described in the D Flip-Flop 75HC74 datasheet
OpenCV_Projects
List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
30-seconds-of-code
Short code snippets for all your development needs
linux-xlnx
The official Linux kernel from Xilinx
Vitis_Accel_Examples
Vitis_Accel_Examples
vivado_setup
How to set up Xilinx Vivado for source control
Industrial-Machinery-Anomaly-Detection
Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder