Search Results for "optimization" - Page 26
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Showing 1233 open source projects for "optimization"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Turbo C++
Turbo C++ for Latest Edition of Windows
...It allows users to run and compile old Turbo C++ programs without needing legacy virtual machines or DOS emulators. While it does not match modern compilers in standards compliance, optimization, or language features, its attraction lies in compatibility with educational or legacy codebases. The project targets hobbyists or learners who want to revisit old C++ assignments or retro programming without abandoning newer system environments. -
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TextBox
A text generation library with pre-trained language models github.com
TextBox 2.0 is an up-to-date text generation library based on Python and PyTorch focusing on building a unified and standardized pipeline for applying pre-trained language models to text generation. From a task perspective, we consider 13 common text generation tasks such as translation, story generation, and style transfer, and their corresponding 83 widely-used datasets. From a model perspective, we incorporate 47 pre-trained language models/modules covering the categories of general,... -
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Windows-Optimize-Harden-Debloat-GUI
C# Based GUI for Windows-Optimize-Harden-Debloat
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FedLab
A flexible Federated Learning Framework based on PyTorch
A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes. -
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GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability...
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EnCodec
State-of-the-art deep learning based audio codec
Encodec is a neural audio codec developed by Meta for high-fidelity, low-bitrate audio compression using end-to-end deep learning. Unlike traditional codecs (like MP3 or Opus), Encodec uses a learned quantizer and decoder to reconstruct complex waveforms with remarkable accuracy at bitrates as low as 1.5 kbps. It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can... -
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Multicell Thin Walled Beam Analysis
Umut YILMAZ Multi-cell Thin Walled Beam Section Analysis
...Easy to use GUI and colorful stress analysis results helps engineers. My program is based on my unpublished mechanical engineering master thesis. You can find sample data here too. Save file is easy to edit as text file so optimization can easily be performed. Any feedbacks will be grateful about the project. System requirements : Windows 98-SE/ME/2000/XP/7/8/10 Additional Requirements : .Net Fx 3.5 (https://www.microsoft.com/en-US/download/details.aspx?id=2 NEW : I am trying to move the project to online : http://online-mech.epizy.com/ will be the program's online version. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Weight Vectors
Generate Weight Vectors for multi-objective optimization algorithms
A handy tool with graphical interface that generate weight vectors for multi-objective optimization algorithms. source: https://github.com/ahmed-fathy/weight-vectors -
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Live Toptimiz3D
Live CD for testing the software Toptimiz3D
Live Topimiz3D is a live CD based on Linux Mint with the software Toptimiz3D installed (for MFEM) (https://gitlab.com/e-aranda/partoptimiz) Toptimiz3D is a GUI for set up and solve topology optimization problems. -
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Bullet Physics SDK
Real-time collision detection and multi-physics simulation for VR
...It allows different automatic differentiation backends, for forward and reverse mode gradients. TDS can be trained using Deep Reinforcement Learning, or using Gradient based optimization (for example LFBGS). In addition, the simulator can be entirely run on CUDA for fast rollouts, in combination with Augmented Random Search. This allows for 1 million simulation steps per second. It is highly recommended to use PyBullet Python bindings for improved support for robotics, reinforcement learning and VR. Use pip install pybullet and checkout the PyBullet Quickstart Guide. -
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Apache TVM
TVM Documentation in Chinese Simplified
tvm-cn is a community-driven project that provides Chinese documentation for the Apache TVM deep learning compiler stack. Apache TVM is an open-source system designed to optimize and deploy machine learning models efficiently across different hardware platforms such as CPUs, GPUs, and ARM devices. The goal of the repository is to centralize translated learning materials and technical documentation so that Chinese-speaking developers can study the TVM ecosystem more easily. The project... -
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Java Best Practices
Best practices in Coding, Designing and Architecting Java Applications
...It provides guidelines and examples that demonstrate how to write clean, efficient, and scalable code following industry standards. The project covers topics such as naming conventions, exception handling, performance optimization, and design principles. It helps developers transition from basic coding knowledge to professional-level practices. The repository emphasizes consistency and clarity in code structure, making it easier to collaborate in team environments. It also introduces patterns that reduce technical debt and improve long-term maintainability. ... -
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Elephas
Distributed Deep learning with Keras & Spark
...Spark workers deserialize the model, train their chunk of data and send their gradients back to the driver. The "master" model on the driver is updated by an optimizer, which takes gradients either synchronously or asynchronously. Hyper-parameter optimization with elephas is based on hyperas, a convenience wrapper for hyperopt and keras. -
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mlr
Machine Learning in R
...{mlr} provides this infrastructure so that you can focus on your experiments! The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods, as well as unsupervised methods like clustering. It is written in a way that you can extend it yourself or deviate from the implemented convenience methods and construct your own complex experiments or algorithms. -
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CleanerX
CleanerX for Gaming, Windows Optimizer
Open source optimization program for Windows. -
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Mozilla JPEG Encoder Project
Improved JPEG encoder
...We include a demo cjpeg command-line tool, but it's not intended for serious use. We encourage authors of graphics programs to use libjpeg's C API and link with MozJPEG library instead. Progressive encoding with "jpegrescan" optimization. It can be applied to any JPEG file (with jpegtran) to losslessly reduce file size. -
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Angular Performance Checklist
Cheatsheet for developing lightning fast progressive Angular apps
...It outlines actionable recommendations — from bundling and minification, tree-shaking, lazy loading, ahead-of-time (AoT) compilation, resource prefetching, caching and compression, to runtime strategies like change-detection optimization (OnPush, detaching change detectors), minimizing DOM operations, optimizing templates, using pure pipes, minimizing watchers, and more. The checklist is designed to be framework-agnostic in many parts, but especially valuable for Angular developers wanting to build responsive, fast-loading, efficient single-page applications. -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
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Imgbot
An Azure Function solution to crawl through all of your image files
Don’t spend another second worrying about compressing your images. Install Imgbot into your GitHub projects, and focus on your application. Install Imgbot from the GitHub marketplace into your projects with the click of a button. Imgbot will send you your first pull request optimizing all of the images that it can find. Imgbot watches for new images in your repository and opens more pull requests. When you’re shipping code and hitting deadlines, it’s easy to forget about optimizing your... -
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Crunch
Insane(ly slow but wicked good) PNG image optimization
Crunch is an image compression tool for lossy PNG image file optimization. Using a combination of selective bit depth, color palette reduction and color type, as well as zopfli DEFLATE compression algorithm encoding that employs the pngquant and zopflipng PNG optimization tools, Crunch is effectively able to optimize and compress images with minimal decrease in image quality. While it may produce file size gains larger than those produced by lossless approaches, the impact on image quality is often imperceptible, and optimized file sizes are still significantly lower than the original. -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
...The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. By using TensorFlow as the backbone, it highlights practical considerations such as tensor shapes, loss computation, optimization steps, and batching in an RL context. -
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ePnR
ePnR is an IC block standard cell placement & routing tool
...Standard cells are described in a simple text based library (compliant with eLogSim). Placement follows initially the cell call order in the SPICE like circuit input netlist. However, a placement optimization, aiming at minimum weighted accumulated wire length, by simulated annealing is available. Routing consists of channel routing as first step. If un-routed connections are left, Maze routing can (optionally) be applied. ePnR does not guarantee completely finished routing. However, un-routed connections will be left with rubberband connections and marked start and end points for subsequent manual routing using a third party layout editor. ePnR outputs in CIF 2.0 and GDS stream format readable by e.g. the free KLayout editor. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. ...
