optimization routines for hyperparameter tuning
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A hyperparameter optimization framework
Distributed Asynchronous Hyperparameter Optimization in Python
A collection of libraries to optimise AI model performances
Sequential model-based optimization with a `scipy.optimize` interface
Safe Bayesian Optimization
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
