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Tag: Machine learning
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A research toolkit for particle swarm optimization in Python

  • particle-swarm-optimization
  • optimization-tools
  • pso
  • global-optimization

🎯 A comprehensive gradient-free optimization framework written in Python

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

  • optimization
  • optimization-algorithms
  • optimization-methods
  • optimization-problem

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.

Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

  • text-recognition
  • ocr-recognition
  • domain-adaptation
  • multi-source-domain-adaptation

Document management for small businesses.

  • dms
  • documents
  • documents-management
  • documents-manager