Search Results for "multi-objective optimization"
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Showing 8 open source projects for "multi-objective optimization"
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
...The framework is also organized to help you compare training strategies (e.g., pure SFT vs. preference optimization) so you can see what actually moves metrics in math, code, and multi-step reasoning. For teams exploring open reasoning models, EasyR1 provides an opinionated yet flexible path from dataset to deployable checkpoints. -
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Tun2Socks
tun2socks , powered by gVisor TCP/IP stack
Proxy Everything: Handle all network traffic of any internet programs sent by the device through a proxy. Proxy Protocols: HTTP/Socks4/Socks5/Shadowsocks with authentication support for remote connections. Run Everywhere. Linux/macOS/Windows/FreeBSD/OpenBSD multi-platform support with specific optimization. Gateway Mode: Act as a layer three gateway to handle network traffic from other devices in the same network. Full IPv6 Support: All functions work in IPv6, tunnel IPv4 connections through IPv6 proxy and vice versa. Network Stack: Powered by user-space TCP/IP stack from Google container application kernel gVisor. -
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. ... -
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GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). A Blazor... -
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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Fecshop (Yii2 Fecshop)
yii2 (PHP) fecmal (fecshop) core code used for ecommerce shop
Yii2 Fecshop is an open-source e-commerce application built on the Yii2 framework. It is designed to provide a complete solution for building scalable and customizable online stores. Fecshop offers features like multi-language support, multi-currency options, SEO optimization, and integration with third-party payment gateways. The modular architecture makes it flexible, allowing developers to extend and customize the store as needed. -
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archer
An automated SQL operation platform based on inception
An automated SQL operation platform based on inception, supports functions such as work order, audit, scheduled task, email, OSC, etc., and can also configure MySQL query, slow query management, session management, etc. Initiate SQL launch, submit work orders, and automatically audit by inception. After the audit is passed, manual audit by the auditor is required. The rollback statement can be displayed in the work order, and it supports one-click submission of rollback work orders. Query... -
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PyOptFrame-LEGACY
PyOptFrame-LEGACY is Python OptFrame v2. Newest version v5 on github.
PyOptFrame-LEGACY is a Python version of OptFrame v2, proposed in 2011, now superseeded in 2021 by v5 on GitHub and PIP. The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii. See NEWEST version v5 on GitHub and PIP. Please try Official pyoptframe on https://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022).
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