Search Results for "optimization" - Page 32
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Showing 1233 open source projects for "optimization"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
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Artificial Intelligence cheatsheets
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
Artificial Intelligence cheatsheets is a structured educational repository that summarizes major concepts from Stanford’s CS221 Artificial Intelligence course in an accessible and condensed format. The project covers classical AI topics such as search algorithms, probabilistic reasoning, Markov decision processes, reinforcement learning, constraint satisfaction, and logical inference. It aims to bridge theoretical understanding with practical problem-solving by organizing complex AI subjects... -
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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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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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Elasticsearch-HQ
Monitoring and Management Web Application for ElasticSearch instances
Elasticsearch-HQ is a management and monitoring tool for Elasticsearch clusters, providing a web-based interface to view, manage, and optimize cluster performance. -
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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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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Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures! Optimization courses which form the foundation for ML, DL, RL. Computer Vision courses which are DL & ML heavy. Speech recognition courses which are DL heavy. Structured Courses on Geometric, Graph Neural Networks. Section on Autonomous Vehicles. Section on Computer Graphics with ML/DL focus. -
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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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QMForge reads output from various quantum mechanical calculations and provides tools for analyzing these results. Specifically, population (Mulliken and C-squared), fragment, and charge decomposition analyses are available. See https://qmforge.net for more info.
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Miaosha
Design and implementation of flash sale system
...Security hardening is addressed with ideas such as dynamic request paths, anti-bot measures, and one-time tokens to reduce automated abuse. The code showcases a typical Spring Boot stack that cleanly separates controllers, services, and persistence, making bottlenecks and optimization points easy to identify. As a study case, it provides a practical blueprint for building resilient sale/booking endpoints where fairness and correctness matter as much as raw throughput. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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BlobCity
A blazing fast ACID compliant NoSQL DataLake
BlobCity DB is an AI-optimized, NoSQL database designed for high-performance analytics and machine learning workloads. It combines structured and unstructured data storage, offering fast query execution and seamless integration with AI frameworks. It is built to handle large-scale datasets efficiently. -
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Deep Learning with PyTorch
Latest techniques in deep learning and representation learning
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. To be able to follow the exercises, you are going to need a laptop with Miniconda (a... -
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Presets for Devices
This package aims to set to usable. These are optimization presets.
This package aims to set to usable. These are optimization presets. -
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Electronic Circuit Optimization
Optimer: a SPICE base electrical/ electronic circuit optimization tool
This project is dedicated to the optimization of (any) electrical and electronic circuits and components using evolutionary and heuristic algorithms incorporated with SPICE simulators (such as HSPICE, ngSPICE, etc.). We provide Optimer, which is a user graphical interface for circuit design and optimization. Website: https://www.circuitoptimization.com/ E-mail: contact@circuitoptimization.com/ -
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Machine Learning From Scratch
Bare bones NumPy implementations of machine learning models
...The repository includes implementations of algorithms ranging from simple models such as linear regression and logistic regression to more complex techniques such as decision trees, support vector machines, clustering methods, and neural networks. Because the code avoids external machine learning libraries, it exposes the full logic behind model training, optimization, and prediction processes. The project also provides examples and explanations that illustrate how the algorithms behave and how different components interact during training. -
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hbyao-GIW2019
Materials for problem and optimization of CARD
CARD is the most widely-used ARG identification database. We reveal some problematic cases where possible false classifications may occur and methods to solve the problem are proposed. Our paper "Deep Analysis and Optimization of CARD Antibiotic Resistance Gene Discovery Models" will be presented on GIW2019. The repository contains the full powerpoint and the code used in our paper. The code and more instructions for using the code will be continuously updated. We look forward to producing a functional plug-in to the CARD database. We sincerely appreciate if you can follow the progress of this project. ... -
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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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Zharudar
Bangladeshi pc cleaning software
'Zharudar 1.9'- it is a software containing the facilities: system optimization, temporary file cleaning and exclusive utility tools. It's easy to use. And it's the first software in Bangladesh which enables the services mentioned above. It's popularity is growing very rapidly in Bangladesh. It's the 9th version of Zharudar software that I'm talking about. I hope people all over the world will enjoy using this software. -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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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. -
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pytorch-examples
Simple examples to introduce PyTorch
The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners and experienced practitioners. By emphasizing readable code, the repository helps users understand how PyTorch’s imperative programming style enables flexible model development. ... -
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Enlive
Selector-based templating and transformation system for Clojure
...It allows selecting, transforming, and generating HTML fragments using CSS selectors, and supports server-side template composition, dynamic pages, and content rewriting. By default selector-transformation pairs are run sequentially. When you know that several transformations are independent, you can now specify (as an optimization) to process them in lockstep. Note that this doesn't work with fragments selectors. Transformations are now slightly restricted in their return values: a node or a collection of nodes (instead of freely nested collections of nodes). -
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Full Stack FastAPI Couchbase
Full stack, modern web application generator
Full stack, modern web application generator. Using FastAPI, Couchbase as a database, Docker, automatic HTTPS, and more. Couchbase has a great set of features that is not easily or commonly found in alternatives. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, or whatever you want, and just test...
