Search Results for "algorithms"
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Showing 21 open source projects for "algorithms"
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search. -
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Anki
Anki is a smart spaced repetition flashcard program
Anki is a free, open-source spaced repetition flashcard application designed for efficient long‑term memorization. It supports a wide variety of media types (text, images, audio, LaTeX), advanced scheduling algorithms (SM‑2, FSRS), and extensibility via add‑ons. It’s widely used for education, language learning, medical training, and more. -
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rust-rocksdb
Rust wrapper for rocksdb
...If you want to build it yourself, make sure you've also cloned the RocksDB and compression submodules. By default, support for the Snappy, LZ4, Zstd, Zlib, and Bzip2 compression is enabled through crate features. If support for all of these compression algorithms is not needed, default features can be disabled and specific compression algorithms can be enabled. The underlying RocksDB does allow column families to be created and dropped from multiple threads concurrently. But this crate doesn't allow it by default for compatibility. If you need to modify column families concurrently, enable crate feature called multi-threaded-cf, which makes this binding's data structures to use RwLock by default. -
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X For You Feed Algorithm
Algorithm powering the For You feed on X
X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and... -
The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Polars
Dataframes powered by a multithreaded, vectorized query engine
Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts. -
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libsignal
Home to the Signal Protocol and other cryptographic primitives
libsignal is the foundational cryptographic library that implements the Signal Protocol and other essential primitives used across the official Signal clients and servers, enabling secure end-to-end encrypted communication. Written primarily in Rust with bindings and APIs surfaced for Java, Swift, and TypeScript, this library encapsulates critical algorithms like the Double Ratchet, prekey mechanisms, secure key storage, and zero-knowledge group primitives, along with additional utilities for media handling and device key transfer. libsignal abstracts complex cryptographic constructions into reusable components that client applications can adopt to ensure forward secrecy, authentication, and integrity without re-implementing core security logic. ... -
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s2n-quic
An implementation of the IETF QUIC protocol
s2n-quic is AWS’s open-source implementation of the IETF QUIC transport protocol, written in Rust and designed for performance, security, and modern usage. QUIC is a UDP-based, multiplexed, encrypted transport layer that underpins HTTP/3 and addresses issues such as head-of-line blocking and faster handshake times compared to TCP+TLS. This library integrates with AWS’s s2n-tls or rustls for the TLS 1.3 handshake and leverages Rust’s memory and thread safety guarantees to deliver a robust... -
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PostgresML
The GPU-powered AI application database
...Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database. -
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Linfa
A Rust machine learning framework
linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks. -
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Hyperswitch
An open source financial switch to make payments fast
...Connect with multiple payment processors with a single API to improve payment conversions, and reduce costs and ops. Unified API with enterprise-grade scale & reliability. Achieve your goals with custom and smart routing algorithms. Cross-platform, native, seamless payment experience. Instantly integrate new payment options with the least dev efforts. Elaborate reporting, analytics, and customization. All your compliance and security are taken care of. -
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Substrate Node Template
A rust implementation of the Quip Protocol forked from Substrate
...It also includes tools for running single-node or multi-node networks, enabling developers to simulate distributed consensus systems locally. The architecture is designed for extensibility, allowing custom consensus algorithms, storage models, and transaction logic to be integrated. -
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Aglais XQVM
A rust implementation of the Quip Network's quantum virtual machine
Aglais XQVM is a Rust implementation of the Quip Network’s quantum virtual machine, designed to simulate or execute quantum-inspired computation within a blockchain or distributed system context. The project focuses on providing a performant and low-level execution environment that can handle specialized computational workloads associated with quantum algorithms or hybrid systems. Built in Rust, it emphasizes memory safety, performance, and deterministic execution, which are critical for distributed environments. It integrates with the broader Quip ecosystem, allowing it to function as part of a larger protocol stack that includes blockchain infrastructure and node management tools. The virtual machine abstraction enables developers to define and execute computational logic in a controlled environment, potentially bridging classical and quantum paradigms. ... -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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RKepler
RKepler is a library of astronomical almanac algorithms for the Rust.
RKepler is a library of astronomical almanac algorithms for the Rust programming language. -
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genshin_artifact
Genshin Impact artifacts assessment, artifacts auto combination
genshin_artifact is a specialized optimization and analysis tool designed for the game Genshin Impact, focusing on evaluating and recommending optimal artifact builds for characters. It uses computational models and heuristic optimization algorithms to simulate damage output, stat scaling, and equipment combinations, helping players identify the most effective setups. The system allows users to adjust parameters such as buffs, team composition, and character stats, providing detailed breakdowns of how different configurations impact performance. It also includes advanced analysis tools like stat efficiency curves, artifact scoring systems, and potential evaluation metrics, giving users a deeper understanding of gear optimization. ... -
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Bayes+Estimate is a Rust and C++ library that implement numerical algorithms for Bayesian estimation. They provide tested and consistent numerical methods and represents the wide variety of Bayesian estimation algorithms and system model.
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NTK Ultra-Compression
Logiciel de compression de fichiers maximal indépendant du temps.
Le logiciel NTK Ultra-Compression répond à une problématique essentielle de l’ère numérique : comment réduire la taille des données à leur minimum absolu sans compromis sur leur intégrité, tout en s’affranchissant des contraintes temporelles ? Dans un monde où les volumes de données explosent et où les solutions actuelles de compression restent limitées par des compromis entre rapidité, efficacité et complexité, nous proposons une approche disruptive. Les solutions actuelles, telles que... -
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3DPass
The Implementation of The Ledger of Things Node. Layer 1 decentralized
3DPass is an open-source Layer 1 blockchain written in Rust and built on Substrate. It introduces a novel consensus mechanism called Proof of Scan, where miners validate by running recognition algorithms on 3D objects. Each object produces a reproducible cryptographic fingerprint (HASH ID) that is stored on-chain. If the same object is submitted again, the network rejects it, ensuring that only one of a kind assets can be registered. This approach enforces authenticity at the content level, something traditional file storage and NFT systems cannot achieve. ... -
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CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!
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hora
Efficient approximate nearest neighbor search algorithm collections
...The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. These vectors are commonly generated by neural networks to represent images, text, audio, or other data types in a mathematical embedding space. The library is written in Rust and emphasizes performance, safety, and efficient memory management, making it suitable for production-grade applications requiring low latency and high throughput. -
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Xi Editor
A modern editor with a backend written in Rust
...This separation lets the core focus on speed and concurrency, while multiple frontends (macOS, GTK, web) handle rendering, input, and platform bridging. Xi is designed to scale to huge files (gigabyte scale) without lag, thanks to a rope data structure and efficient diffing algorithms. Plugins communicate with the core via JSON-RPC, enabling asynchronous extensions without blocking editing responsiveness. The overall aim is to reimagine text editing for modern machines and workflows, delivering scalability, modularity, and an editor architecture built for the next decade.
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