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49–72 of 93 · Most stars

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.

TranslatedHelixHarness provides complete foundational capabilities for AI Coding engineering, and also supports different enterprises and teams in combining their own business knowledge, engineering standards, and R&D processes to continuously build and evolve their own dedicated Harness

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

  • ros
  • ros-kinetic
  • ros-packages
  • rviz

INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.

A FHIR® Server with internal, fast CQL Evaluation Engine

  • fhir
  • fhir-server
  • cql-evaluation-engine
  • hl7

Elixir library that provides macros which allow you to encapsulate business logic and validate incoming parameters with predefined contract.

  • elixir
  • coercion
  • ddd
  • operation-invocation

Programmatic modification and evaluation of software

  • software-engineering
  • source-code
  • evolutionary-computation
  • program-synthesis

AI Roadmap 2026: a beginner's path through Foundations, LLM Engineering, Agents, Evaluation, and Production, with verified free resources and a mini-project per layer

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.

  • benchmark
  • calibration
  • decision-making
  • evaluation

A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.