Search Results for "optimization" - Page 9
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Showing 369 open source projects for "optimization"
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Jekyll Starter Kit
Jekyll Progressive Web App Generator
Jekyll Progressive Web App Generator. -
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VS-Code-Extension-Doc-ZH
VS Code Extension Doc in Chinese
...New features and APIs become available every month to increase the power and scope of VS Code extensions. During the translation process, it is inevitable that there will be clerical errors, inadequate translation, and room for optimization. Of course, the most serious chapters or fragments that should be translated are difficult to understand. -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
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XIVO
X Inertial-aided Visual Odometry
XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO).... -
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8cc C Compiler
Compiler for the C programming language
...The code is intentionally written to be concise and readable, making it accessible to developers who want to study compiler internals. Although it lacks advanced optimization features and is not intended for production use, it provides a solid foundation for understanding how C programs are translated into machine code. -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so parameter updates can be treated as differentiable operations. ... -
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Pack-Print-Cut
Packing two dimensional rectangular elements at orthogonal table
...In spite its look it is fully functional peace of software , with all necessary elements needed for generating cutting sheets. GUI is simple and it consists of fields for entering table and element dimensions on the right. Packing, optimization, cutting and cleaning table edges section bottom left and statistic section bottom right. Upper left are table description field and cut sheet drawing at the center. Right click at the cut sheet drawing and there are printing options. NOTICE : This program was not created for sellers of chipboard and other board materials. ... -
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WePY
Framework that allows programs to support componentized development
A framework that allows small programs to support componentized development. One of the most popular small program framework. Component development, perfect solution to the problems of component isolation, component nesting, component communication, etc. Supports the use of third-party npm resources, automatically handles dependencies between npm resources, and is perfectly compatible with all npm resource packages without platform dependencies. Through polyfill, the mini program perfectly... -
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Smart Algorithm
Repository implementing a variety of intelligent algorithms
Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. Particle Swarm Optimization (PSO) implementations in multiple languages. ... -
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Jekyll-Paper
A simple Jekyll theme, helping you to create your own blog
Jekyll Paper is a simple Jekyll theme, and it aims to help you to create your own blog in the easiest way. Unfortunately, Jekyll Paper implements the category page by the 'Jekyll-archive' plugin, and GitHub Pages does not support it. So, this project is for the self-host blog, and the GitHub Pages version is also available in Jekyll Paper for Github. -
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UNMAINTAINED: Try https://github.com/pjoe/loadem instead This project aims to provide a tool for load testing web applications. The goal is a tool that is easy to use and provides near real-time performance measurements of the application under test which is very usefull during optimization.
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ... -
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Fay
A proper subset of Haskell that compiles to JavaScript
Fay is a compiler for a proper subset of Haskell that type-checks using GHC and compiles to JavaScript. It supports pure functional programming, a Fay-specific monad, FFI, optional tail-call optimization, and integration with Cabal packages. GHC-compatible type checking, ensuring correctness. Lazy, pure functional semantics with a distinct Fay monad. Foreign Function Interface (FFI) to integrate native JS code. Compatible with standard Haskell packaging tools like Cabal. -
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Simplify
Android virtual machine and deobfuscator
Simplify virtually executes an app to understand its behavior and then tries to optimize the code so that it behaves identically but is easier for a human to understand. Each optimization type is simple and generic, so it doesn't matter what specific type of obfuscation is used. Provides a virtual machine sandbox for executing Dalvik methods. After executing a method, it returns a graph containing all possible register and class values for every execution path. It works even if some values are unknown, such as file and network I/O. ... -
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GHC (Glasgow Haskell Compiler)
Mirror of the Glasgow Haskell Compiler
GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll... -
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Freezer Persistence
Freezer: Easy generation of the persistence layer of your application
Freezer is a Java code generator which can easily generate the persistence layer of your Java application, and it can as well expose easily Tables/Views/Procedures/Functions of your database as Microservices, Webservices or RESTful services. The resulting application may be easily deployed as a stand-alone application, as a web application or as a microservice running in Docker/Kubernates which may be consumed from: - A client application consuming the generated Webservices. - An... -
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Artemis-odb
A continuation of the popular Artemis ECS framework
...Dozens of games with sources are available in the Game Gallery! Use it commercially! Expand your toolkit! Easy migration from Artemis clones. Optionally auto-pooled components and hotspot optimization via compile-time bytecode instrumentation. High performance, GC-friendly, less boilerplate! Automatic tracking, and maintenance of entity relationships. -
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Zopfli
Zopfli Compression Algorithm is a compression library
...A companion utility, zopflipng, targets PNGs by trying alternate filter strategies and recompressing IDAT chunks, often achieving additional savings without changing image quality. The codebase includes both a reusable library and ready-to-use CLI tools for bulk optimization in build pipelines. It is frequently used offline—e.g., as a final step in release builds—because decode speed remains normal while files get smaller. -
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Browser diet
The definitive front-end performance guide
...The project was built as a static site powered by DocPad, with content written in Markdown and translated into multiple languages, making it accessible to a global audience. Its tone is intentionally playful (with a “diet” metaphor for trimming page weight) to make performance optimization less intimidating and more approachable. The repository provides the full source of the site, including styles, content, and build pipeline so others can run it locally or fork it to create customized guides. Even though it is not a tool or library, browser-diet has been influential as an educational resource that demystifies front-end performance. -
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9cc C compiler
A Small C Compiler
9cc is a small and educational C compiler designed to demonstrate the internal workings of a compiler while still being capable of compiling meaningful programs. It serves as a continuation of Rui Ueyama’s series of compiler projects, focusing on clarity and incremental development rather than production-level optimization. The compiler implements essential stages such as lexical analysis, parsing, semantic analysis, and code generation, providing a complete pipeline from source code to executable output. It supports a subset of the C language sufficient to understand real-world compilation concepts, making it a valuable learning resource for developers interested in low-level programming. ... -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,... -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely eliminate computing/storage/communication hotspots of ps. ... -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The... -
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MLBox
MLBox is a powerful Automated Machine Learning python library
MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone. -
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Coach
Enables easy experimentation with state of the art algorithms
...Coach collects statistics from the training process and supports advanced visualization techniques for debugging the agent being trained. Coach supports many state-of-the-art reinforcement learning algorithms, which are separated into three main classes - value optimization, policy optimization, and imitation learning. Coach supports a large number of environments which can be solved using reinforcement learning.
