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Showing 2637 open source projects for "key"
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xFormers
Hackable and optimized Transformers building blocks
...It abstracts components like attention layers, feedforward modules, normalization, and positional encoding, so you can mix and match or swap optimized kernels easily. One of its key goals is efficient attention: it supports dense, sparse, low-rank, and approximate attention mechanisms (e.g. FlashAttention, Linformer, Performer) via interchangeable modules. The library includes memory-efficient operator implementations in both Python and optimized C++/CUDA, ensuring that performance isn’t sacrificed for modularity. ... -
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Little Book of Linear Algebra
A concise, beginner-friendly introduction to the core ideas of linear
...There is also a companion “LAB” section for hands-on exploration (e.g. using Python/NumPy) to help cement the connections between algebraic formulas and computational behavior. The exposition aims to sit between a pop-math summary and a heavy textbook: definitions and key theorems are stated cleanly, while proofs are sometimes omitted or sketched to keep the flow digestible. Because of its brevity and clarity, it's especially useful as a first pass for learners who want a solid map of the subject before diving into full textbooks. -
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FHEVM
Integrate FHE with blockchain applications
FHEVM is a framework built by Zama to enable confidential smart contracts on EVM-compatible blockchains using Fully Homomorphic Encryption (FHE). It lets developers write Solidity contracts that handle encrypted inputs, encrypted state, arithmetic and logical operations on encrypted types, while maintaining privacy (data always encrypted), composability (encrypted state works alongside public state), and security (via threshold decryption, KMS, etc). The framework includes on-chain and... -
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Linera Protocol
Main repository for the Linera protocol
Linera Protocol is a blockchain or distributed ledger architecture designed for scalable and composable execution across shared state shards. It emphasizes linearizability, causal consistency, and determinism by structuring cross-domain interactions through explicit protocols and asynchronous messaging. Each domain (shard) handles its own commands and state transparently; inter-domain operations rely on well-defined messaging layers and proofs to preserve consistency without central... -
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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PowerHub
A post exploitation tool based on a web application
PowerHub is a PowerShell-based automation framework designed to centralize and orchestrate common administrative tasks across Windows environments. It exposes a modular command set for inventorying systems, managing services, deploying packages, and executing remote commands with consistent logging and error handling. The project places emphasis on discoverability and reuse: scripts are organized into reusable modules and functions with clear parameter contracts so teams can compose... -
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Gitit
A wiki using HAppS, pandoc, and git
...Even page names may be UTF-8 if the file system supports this. So you should make sure that you are using a UTF-8 locale when running gitit. (To check this, type locale.) The metadata block consists of a list of key-value pairs, each on a separate line. If needed, the value can be continued on one or more additional line, which must begin with a space. -
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Cheshire
Clojure JSON and JSON SMILE (binary json format) encoding/decoding
Cheshire is a high-performance JSON encoding and decoding library for Clojure, built atop Jackson to combine fast parsing/generation with advanced support for types like Dates, UUIDs, Sets, Symbols, and the binary JSON SMILE format. Custom encoding is supported from 2.0.0 and up if you encounter a bug, please open a GitHub issue. From 5.0.0 onwards, custom encoding has been moved to be part of the core namespace (not requiring a namespace change). Custom and Core encoding have been combined... -
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Mem0
The Memory layer for AI Agents
Mem0 is a self-improving memory layer designed for Large Language Model (LLM) applications, enabling personalized AI experiences that save costs and delight users. It remembers user preferences, adapts to individual needs, and continuously improves over time. Key features include enhancing future conversations by building smarter AI that learns from every interaction, reducing LLM costs by up to 80% through intelligent data filtering, delivering more accurate and personalized AI outputs by leveraging historical context, and offering easy integration compatible with platforms like OpenAI and Claude. ... -
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Eko
Build Production-ready Agentic Workflow with Natural Language
Eko (Eko Keeps Operating) is a JavaScript framework designed for building production-ready agent-based workflows using natural language commands. It allows developers to create automated agents that can handle complex workflows in both computer and browser environments. With a focus on high development efficiency, Eko simplifies the creation of multi-step workflows, enabling users to integrate and automate tasks across platforms. It provides a unified interface for managing agents, offering... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Ax
Build LLM powered Agents and "Agentic workflows"
...We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with. -
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Tegon
Tegon is an open-source, AI-first alternative to Jira, Linear
Tegon is an AI-first, open-source issue-tracking software that uses AI to smartly automate manual tasks, and workflows or provide more context to engineers for a given task. Manual efforts in task management, such as task triaging and backlog maintenance, can be time-consuming. Engineers often lose time navigating multiple platforms to gather task context, rather than accessing details within the task itself. Issue tracking tools serve as a task database, directing engineers on what to work... -
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NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers
Fast implementations of root-finding algorithms in Julia that satisfy the SciML common interface. For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation that contains the unreleased features. NonlinearSolve.jl is a unified interface for the nonlinear solving packages of Julia. The package includes its own high-performance nonlinear solvers which include the ability to swap out to fast direct and iterative... -
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Sync
JSON to Core Data and back. Swift Core Data Sync.
Sync eases your everyday job of parsing a JSON response and syncing it with Core Data. Sync is a lightweight Swift library that uses a convention-over-configuration paradigm to facilitate your workflow. Syncing JSON to Core Data is a repetitive tasks that often demands adding a lot of boilerplate code. Mapping attributes, mapping relationships, diffing for inserts, removals and updates are often tasks that don't change between apps. Taking this in account we took the challenge to abstract... -
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Argilla
The open-source data curation platform for LLMs
...In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Argilla is designed to close this gap, enabling you to iterate as much as you need. -
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json-graphql-server
Get a full fake GraphQL API with zero coding in less than 30 seconds
...Your data file should export an object where the keys are the entity types. The values should be lists of entities, i.e. arrays of value objects with at least an id key. The json-graphql-server accepts queries in GET and POST. Under the hood, it uses the express-graphql module. Please refer to their documentations for details about passing variables, etc. Note that the server is GraphiQL enabled, so you can query your server using a full-featured graphical user interface, providing autosuggest, history, etc. ... -
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Miniredis
Pure Go Redis server for Go unittests
...There are no dependencies on external binaries, so you can easily integrate it in automated build processes. Since miniredis is intended to be used in unittests TTLs don't decrease automatically. You can use TTL() to get the TTL (as a time.Duration) of a key. It will return 0 when no TTL is set. Miniredis will use math/rand's global RNG for randomness unless a seed is provided by calling m.Seed(...). If a seed is provided, then miniredis will use its own RNG based on that seed. -
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jwt-go
Go of JSON Web Tokens
...The first part is called the header. It contains the necessary information for verifying the last part, the signature. For example, which encryption method was used for signing and what key was used. -
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ember-engines
Composable Ember applications for ambitious user experiences
Engines allow multiple logical applications to be composed together into a single application from the user's perspective. The key term here is "logical application". That is, an Engine represents a set of functionality and user experiences that could logically be considered an application. However, they differ from normal Ember applications in that they are intended to be composed within a host application in order to create a single, cohesive user experience. -
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Rubick
Electron based open source toolbox, free integration of rich plug-ins
...Plug-in management is based on npm package mode, installing plugins is as easy as installing npm packages. Support system plug-ins, as long as rubick is running, plug-ins can be used at any time. Support global shortcut key settings. Support clipboard file search. Support searching for locally installed apps or preferences. Support for MacOS. Support for Windows, and support for Linux. Click the rubick icon on the right side of the search box to enter the plug-in market, select the desired plug-in, and click the download button to download. -
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Django Two-Factor Authentication
Complete Two-Factor Authentication for Django
...Test drive this app through the example app. It demos most features except the Twilio integration. The example also includes django-user-sessions for providing Django sessions with a foreign key to the user. -
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Cobbler
Cobbler is a versatile Linux deployment server
...Cobbler can help with provisioning, managing DNS and DHCP, package updates, power management, configuration management orchestration, and much more. Automation is the key to speed, consistency and repeatability. These properties are critical to managing infrastructure, whether it is comprised of a few servers or a few thousand servers. Cobbler helps by automating the process of provisioning servers from bare metal, or when deploying virtual machines onto various hypervisors. Just as configuration management systems rely on templates to simplify updates, so too does Cobbler. -
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Kysely
A type-safe typescript SQL query builder
Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources... -
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dnd kit
Accessible and extensible drag & drop toolkit for React
...It's built around built-in React state management and context, which keeps the library lean. Customize every detail: animations, transitions, behaviours, styles. Build your own sensors, collision detection algorithms, customize key bindings and so much more. -
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Alternative JSON parser for Go
One of the fastest alternative JSON parser for Go
It does not require you to know the structure of the payload (eg. create structs), and allows accessing fields by providing the path to them. It is up to 10 times faster than standard encoding/json package (depending on payload size and usage), allocates no memory. Originally made for a project that relies on a lot of 3rd party APIs that can be unpredictable and complex. Encoding/json requires you to know exactly your data structures, or if you prefer to use map[string]interface{} instead,...
