Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
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Updated
May 23, 2024 - Python
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An abstraction layer for mathematical optimization solvers
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
System.Linq.Expression expressions optimizer. http://thorium.github.io/Linq.Expression.Optimizer
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
A dictionary that de-duplicates values.
Explanation system for semi-supervised multi-objective optimization
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
This repositories include the IEEE Congress on Evolutionary Computation Benchmark functions suite (IEEE CEC 2014 2017 2020 2022). You can use the untitled.m to form a figure of the benchmark function.
Blockwise Direct Search
Portfolio optimization and back-testing.
A JavaScript checker and optimizer.
Convenient and safe automated image compression
Optimize React performance and make your React 70% faster in minutes, not months.
A Python-embedded modeling language for convex optimization problems.
Some papers on Temporal Knowledge Graph Embedding and Reasoning
Bayesian optimization using Gaussian Process regression (Python)
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