Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini 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.
The goal: to provide implementations of as many algorithms (sorting, searching, ...) and data structures (lists, trees, ...) as possible, accompanied by discussion of big O run time and memory limits and references to sources of further study.
An implementation of memory-prediction framework applied for image recognition. Based on Jeff Hawkins' book On Intelligence. It models the high-level hierarchical architecture of human neocortex and uses Bayesian belief revision for making predictions
A LGPL library to handle xml documents in a DOM-like style. It's designed for LOW-performance systems (like embedded ones) and for lightly handle very large documents, automatically speeding up memory management in a user tunable style.
Easy To Use Collection Classes For C And C++
The Memory Structures Library (MemSL) has implementations of structures (i.e. AVL trees, threaded trees, dynamic hashing, ...) that are extremely hard to find and far harder to implement.
Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure
Native application identity and user-based security for your Azure cloud
Gain 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.
STLshm provides an C++ STL Allocator implementation for creating and using STL containers (and any other allocator aware types) in shared memory regions. It supports multiple shared region implementations.
QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
Origin is a evolver for the programming game Corewars. Part of this project is a modified MARS (Memory Array Redcode Simulator) written in C especialy for evolvers. With SWIG its going to be very easy to use in different languages.
This is an avl tree implementation. It is implemented in very optimized way and easy to use. It does not force you to use any specific way of memory allocation. It does not use recursive call. It is implemented with emphasis on speed and simplicity.
An extremely memory-efficient hash_map implementation. 2 bits/entry
overhead! The SparseHash library contains several hash-map implementations, including implementations that optimize for space or speed.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You 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.
Yaobi is a fast collision detection library for general triangulated objects. It uses a hierarchical representation based on oriented bounding boxes. Yaobi compares well with other libraries when it comes to speed and memory consumption.
A library of data structures with a unified API, written in portable C. Lists (uni- and bidirectional), a vector, a hash, a balanced tree (RB or AVL), a heap and tuples. Memory management, clone support, error handling.