Search Results for "ivy-cache"
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Showing 1229 open source projects for "ivy-cache"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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IVY
The Unified Machine Learning Framework
Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an... -
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Ivy Wallet
Ivy Wallet is an open-source money manager app for Android
Ivy Wallet is a free and open-source money manager android app. It's written using 100% Kotlin and Jetpack Compose. It's designed to help you track your personal finances with ease. Imagine Ivy Wallet as a manual expense tracker that tries to replace the good old spreadsheet for managing your finances. -
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Cache
Nothing but Cache
Cache doesn't claim to be unique in this area, but it's not another monster library that gives you a god's power. It does nothing but caching, but it does it well. It offers a good public API with out-of-box implementations and great customization possibilities. Cache utilizes Codable in Swift 4 to perform serialization. The cache is built based on a Chain-of-responsibility pattern, in which there are many processing objects, each knows how to do 1 task and delegates to the next one, so can you compose Storage the way you like. ... -
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Lada Cache
A Redis based, fully automated and scalable database cache layer
A Redis-based, fully automated, and scalable database cache layer for Laravel. -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. -
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Symfony Cache
Provides extended PSR-6, PSR-16 (and tags) implementations
Symfony Cache is a powerful caching library that provides a consistent API for caching data in PHP applications. It supports a variety of cache backends, including Redis, Memcached, and filesystem caching. The component is highly efficient, with features like tag-based invalidation and hierarchical cache structures, making it suitable for both small and large-scale applications. -
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requests-cache
Persistent HTTP cache for python requests
requests-cache is a persistent HTTP cache that provides an easy way to get better performance with the Python requests library. Keep using the requests library you’re already familiar with. Add caching with a drop-in replacement for requests. The session, or install globally to add transparent caching to all request functions. Get sub-millisecond response times for cached responses. -
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Symfony Cache Contracts
A set of cache abstractions extracted out of the Symfony components
Symfony Cache Contracts defines a set of interfaces that standardize cache operations in Symfony and other PHP applications. It provides abstraction for caching services, ensuring consistent interaction regardless of the underlying implementation. These contracts help decouple application logic from specific cache providers, enabling flexible caching strategies and easy integration with PSR-compliant tools. -
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koa-cache-responses
Caching middleware for Koa using koa-cash
Caching middleware for Koa using koa-cash and route pattern-based matching with path-to-regexp. Made for Lad. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Jekyll Include Cache
A Jekyll plugin to cache the rendering of Liquid includes
A Jekyll plugin to cache the rendering of Liquid includes. If you have a computationally expensive include (such as a sidebar or navigation), Jekyll Include Cache renders the include once, and then reuses the output any time that includes is called with the same arguments, potentially speeding up your site's build significantly. -
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Laravel Response Cache
Speed up a Laravel app by caching the entire response
This Laravel package can cache an entire response. By default, it will cache all successful get-requests that return text-based content (such as HTML and json) for a week. This could potentially speed up the response quite considerably. So the first time a request comes in the package will save the response before sending it to the users. When the same request comes in again we're not going through the entire application but just respond with the saved response. -
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Android Cache Fix Gradle Plugin
Gradle plugin that fixes Android build caching problems
The Android Cache Fix Gradle Plugin is developed by the Gradle team to improve build cache correctness and performance for Android builds. It applies workarounds and adjustments for known issues in the Android Gradle Plugin that interfere with build caching. This plugin ensures that tasks are cacheable when they otherwise wouldn’t be, and it applies targeted fixes for bugs affecting incremental and cached builds, thus improving overall efficiency in Android projects. -
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Laravel Eloquent Query Cache
Adding cache on your Laravel Eloquent queries' results is now a breeze
Laravel Eloquent Query Cache brings back the remember() functionality that has been removed from Laravel a long time ago. It adds caching functionalities directly on the Eloquent level, making use of cache within your database queries. -
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JetCache
JetCache is a Java cache framework
JetCache is a Java cache abstraction that provides uniform usage for different caching solutions. It provides more powerful annotations than those in Spring Cache. The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in memory). -
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Gocache
Go cache library that brings you multiple ways to manage caches
Guess what is Gocache? a Go cache library. This is an extendable cache library that brings you a lot of features for caching data. Multiple cache stores: actually in memory, redis, or your own custom store. A chain cache: use multiple cache with a priority order (memory then fallback to a redis shared cache for instance) A loadable cache: allow you to call a callback function to put your data back in cache. -
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Nebulex
In-memory and distributed caching toolkit for Elixir
Nebulex provides support for transparently adding caching into an existing Elixir application. Similar to Ecto, the caching abstraction allows consistent use of various caching solutions with minimal impact on the code. Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage patterns, declarative annotation-based caching, and distributed cache topologies, among others. ... -
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Model Caching for Laravel
Eloquent model-caching made easy.
...I created this package in response to a client project that had complex, nested forms with many <select>'s that resulted in over 700 database queries on one page. I needed a package that abstracted the caching process out of the model for me and one that would let me cache custom queries, as well as cache model relationships. This package is an attempt to address those requirements. For best performance, a taggable cache provider is recommended (redis, memcached). While this is optional, using a non-taggable cache provider will mean that the entire cache is cleared each time a model is created, saved, updated, or deleted. ... -
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Ristretto
A high performance memory-bound Go cache
...After having it around for a year, we noticed that the cache suffered from severe contention. A commit to remove that cache caused our query latency to dramatically improve by 5-10x. In essence, our cache was slowing us down! We concluded that the concurrent cache story in Go is broken and must be fixed. In March, we wrote about the State of Caching in Go, mentioning the problem of databases and systems requiring a smart memory-bound cache which can scale to the multi-threaded environment Go programs find themselves in. -
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Redis Store
Cache Redis stores for Ruby web frameworks
Redis Store provides a full set of stores (Cache, I18n, Session, HTTP Cache) for modern Ruby frameworks like: Ruby on Rails, Sinatra, Rack, Rack::Cache and I18n. It supports object marshaling, timeouts, single or multiple nodes, and namespaces. -
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POI POI POI
Scalable KanColle browser and tool
poi is a scalable browser and tool set for Kantai Collection(KanColle). Key features include proxy,HTTP, Socks5 and PAC (Experimental). Cache, including custom cache. Data synthesis and analysis. Notification and plugin support for extensive functionalities. -
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FusionCache
FusionCache is an easy to use, fast and robust cache
FusionCache is an easy-to-use, fast, and robust cache with advanced resiliency features and an optional distributed 2nd layer. It was born after years of dealing with all sorts of different types of caches: memory caching, distributed caching, http caching, CDNs, browser cache, offline cache, you name it. So I've tried to put together these experiences and came up with FusionCache. -
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Ccache
A fast compiler cache
...Supports secondary storage over HTTP (e.g. using Nginx or Google Cloud Storage), Redis or local filesystem, optionally sharding data onto a server cluster. Supports fast "direct" and "depend" modes that don't rely on using the preprocessor. Supports compression using Zstandard. Checksums cache content using XXH3 to detect data corruption. Keeps statistics on hits/misses. Automatic cache size management. Easy installation. -
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memoize
An optimization technique used to speed up consecutive function calls
memoize is a JavaScript package for accelerating repeated function calls by caching results for previously seen inputs. By default, it builds cache identity from the function's first argument using strict equality. Developers can supply custom cache-key functions when multiple arguments or value-based object comparisons are required. Cache entries can expire after a configurable duration, and storage can be replaced with Map-compatible implementations such as LRU caches. Utilities are provided for clearing cached values and checking whether a particular call is currently cached. ... -
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PHPFastCache
A high-performance backend cache system
PHPFastCache is a caching library that provides a simple and efficient way to manage data caching in PHP applications. It supports a variety of cache backends, including Redis, Memcached, APCu, and filesystem. The library is designed to enhance performance by reducing database load and speeding up content delivery. PHPFastCache’s flexible API and multi-driver support make it easy to implement caching in both small and large projects. -
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Caffeine
A high performance caching library for Java
Caffeine is a high performance Java caching library providing a near optimal hit rate. A Cache is similar to ConcurrentMap, but not quite the same. The most fundamental difference is that a ConcurrentMap persists all elements that are added to it until they are explicitly removed. A Cache on the other hand is generally configured to evict entries automatically, in order to constrain its memory footprint. In some cases a LoadingCache or AsyncLoadingCache can be useful even if it doesn't evict entries, due to its automatic cache loading. ...
