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Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

  • hyperopt
  • keras
  • hyperparameter-optimization

1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy

GRASS - free and open-source geospatial processing engine

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

  • ros-kinetic
  • camera-calibration
  • lidar-camera-calibration
  • point-cloud

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

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

Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs

  • gpu
  • exascale
  • cfd
  • fortran