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A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Sequential model-based optimization with a `scipy.optimize` interface

An object-oriented algebraic modeling language in Python for structured optimization problems.

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

AI coding agent optimized for small LLMs. 87% benchmark with 4B-active model.

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. Th... Read more

This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize cost... Read more