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25–48 of 60 · Most stars

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  • ai
  • fairness-ai
  • fairness
  • fairness-testing

Full-stack .Net 10 Clean Architecture (Microservices, Modular Monolith, Monolith), Blazor, Angular 22, React 19, Vue 3.5, BFF with YARP, NextJs 16, Domain-Driven Design, CQRS, SOLID, Asp.Net Core Identity Custom Storage, OpenID Connect, EF Core, OpenTelemetry, SignalR, Background Services, Health Checks, Rate Limiting, Clouds (Azure, AWS, GCP), ...

Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

  • carla
  • carla-simulator
  • carla-driving-simulator
  • self-driving-car

Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.

  • awesome-list
  • embodied-ai
  • imitation-learning
  • in-context-learning

Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)

  • calculus
  • counting
  • functions
  • graph