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49–72 of 241 · Most stars

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  • scaled-yolov4
  • yolor
  • yolov3
  • yolov4

Headless cloud-native authentication and identity management written in Go. Scales to a billion+ users. Replace Homegrown, Auth0, Okta, Firebase with better UX and DX. Passkeys, Social Sign In, OIDC, Magic Link, Multi-Factor Auth, SMS, SAML, TOTP, and more. Runs everywhere, runs best on Ory Network.

  • identity
  • identity-management
  • user-management
  • users

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  • python
  • profiling
  • performance-analysis
  • cpu-profiling

Open source Product Information Management (PIM) and Digital Asset Management (DAM) platform built on Laravel — manage, enrich, and scale product data and digital assets beyond 10 million products. Free forever.

Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.

YugabyteDB - the cloud native distributed SQL database for mission-critical applications.

  • distributed-database
  • database
  • cpp
  • high-performance

Provides a simple way to run Selenium Grid with Chrome, Firefox, and Edge using Container Platform, making it easier to perform browser automation at scale

TranslatedBest microservices framework in Go, like alibaba Dubbo, but with more features, Scale easily. Try it. Test it. If you feel it's better, use it! Java has dubbo, Golang has rpcx! build for cloud!

Chef Infra, a powerful automation platform that transforms infrastructure into code automating how infrastructure is configured, deployed and managed across any environment, at any scale

🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.