Search Results for "compute" - Page 6
Sort By:
Showing 646 open source projects for "compute"
View related business solutions-
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
-
8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
-
1
NVIDIA NeMo
Toolkit for conversational AI
...Every module can easily be customized, extended, and composed to create new conversational AI model architectures. Conversational AI architectures are typically large and require a lot of data and compute for training. NeMo uses PyTorch Lightning for easy and performant multi-GPU/multi-node mixed-precision training. Supported models: Jasper, QuartzNet, CitriNet, Conformer-CTC, Conformer-Transducer, Squeezeformer-CTC, Squeezeformer-Transducer, ContextNet, LSTM-Transducer (RNNT), LSTM-CTC. NGC collection of pre-trained speech processing models. -
2
cuDF
GPU DataFrame Library
...The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. -
3
NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying... -
4
Diligent Core
A modern cross-platform low-level graphics API
DiligentCore is a low-level, cross-platform rendering library designed to provide a modern graphics abstraction layer over Direct3D11, Direct3D12, OpenGL, Vulkan, and Metal. It’s aimed at developers building high-performance rendering engines and scientific visualization tools. DiligentCore gives precise control over GPU resources and rendering pipelines, while also abstracting away platform-specific boilerplate. The library is modular, extensible, and well-suited for projects that require... -
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.
-
5
Micronaut Data
Ahead of Time Data Repositories
Micronaut Data is a database access toolkit that uses Ahead of Time (AoT) compilation to pre-compute queries for repository interfaces that are then executed by a thin, lightweight runtime layer. Both GORM and Spring Data maintain a runtime meta-model that uses reflection to model relationships between entities. This model consumes significant memory and memory requirements grow as your application size grows. The problem is worse when combined with Hibernate which maintains its own meta-model as you end up with duplicate meta-models. ... -
6
psychmeta
Psychometric meta-analysis toolkit
The psychmeta package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Currently, the package supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Please refer to the overview tutorial vignette for an introduction to psychmeta’s functions and workflows. psychmeta is hosted on both CRAN and GitHub. Documentation for psychmeta’s... -
7
roaring
Roaring bitmaps in Go (golang)
...For example, we may need to maintain a set of all documents or rows (represented by numerical identifiers) that satisfy some property. Besides adding or removing elements from the set, we need fast functions to compute the intersection, the union, the difference between sets, and so on. To implement a set of integers, a particularly appealing strategy is the bitmap (also called bitset or bit vector). -
8
DCV Color Primitives
DCV Color Primitives Library
...You might want to propagate errors to the caller function or mix with some other error types. So far, buffers were sized taking into account the image pixel format and dimensions; However, you can use a function to compute how many bytes are needed to store an image of a given format and size. If your data is scattered in multiple buffers that are not necessarily contiguous, you can provide image planes. To take into account data which is not tightly packed, you can provide image strides. -
9
Meteroid
Open-source pricing and billing infrastructure
Meteroid is an open-source, cloud-native pricing and billing infrastructure designed to support usage-based billing, subscription management, invoicing, and cost-tracking — particularly for SaaS or product-led businesses that need flexible billing models beyond flat subscriptions. It provides an API-driven billing engine: you feed Meteroid usage data from your application (e.g. API calls, storage usage, seats, feature usage), define custom pricing rules or plans, and Meteroid calculates... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
qrcp
Transfer files over wifi from your computer to your mobile device
qrcp binds a web server to the address of your Wi-Fi network interface on a random port and creates a handler for it. The default handler serves the content and exits the program when the transfer is complete. When used to receive files, qrcp serves an upload page and handles the transfer. Most QR apps can detect URLs in decoded text and act accordingly (i.e. open the decoded URL with the default browser), so when the QR code is scanned the content will begin downloading by the mobile... -
11
Omnilingual ASR
Omnilingual ASR Open-Source Multilingual SpeechRecognition
...The repo is aimed at pushing practical multilingual ASR—robust to accents, code-switching, and domain shifts—rather than language-by-language systems. For practitioners, it’s a starting point to study transfer, zero-shot behavior, and trade-offs between model size, compute cost, and coverage. -
12
GenAI Processors
GenAI Processors is a lightweight Python library
...The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
13
Amazon EC2 Spot Interrupter
CLI tool that triggers Amazon EC2 Spot Interruption Notifications
...Spot instances are regular EC2 capacity that can be reclaimed by AWS with a 2-minute notification called the Interruption Notification. Applications that are able to gracefully handle this notification and respond by check pointing or draining work can leverage Spot for deeply discounted compute resources! In addition to Interruption Notifications, Rebalance Recommendation Events are sent to spot instances that are at higher risk of being interrupted. Handling Rebalance Recommendations can potentially give your application even more time to gracefully shutdown than the 2 minutes an Interruption Notification would give you. ... -
14
Micro Cloud
A distributed OS built for the Cloud
...Micro is the all encompassing end to end platform experience from source to running and beyond built with a developer first focus. Micro’s goal is to abstract away the complexity of building services for the Cloud. The cloud itself has gone through a huge boom through managed Compute and infrastructure services from the likes of AWS and others. It’s taken what was an operational burden and turned it into a suite of fully managed on demand services which can be used via APIs. Micro is built as a microservices architecture and abstracts away the complexity of the underlying infrastructure. -
15
Flutter Rust Bridge
Rust binding generator, feature-rich, but seamless and simple
...The project supports passing complex types, handling async operations and streams, and integrating with Flutter across mobile and desktop targets. By leaning on Rust’s memory safety and zero-cost abstractions, it enables compute-heavy tasks—parsing, crypto, image/audio processing, and more—without sacrificing Flutter’s developer experience. Build scripts and templates streamline packaging and distribution so the Rust side fits cleanly into CI and multi-platform releases. In practice, teams gain a maintainable way to share one performant Rust core across multiple Flutter apps while keeping the UI reactive and fast. -
16
Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. -
17
LÖVR
Lua Virtual Reality engine
An open-source framework for rapidly building immersive 3D experiences. You can use LÖVR to easily create VR experiences without much setup or programming experience. The framework is tiny, fast, open-source, and supports lots of different platforms and devices. Runs on Windows, Mac, Linux, Android, WebXR. Supports Vive/Index, Oculus Rift/Quest, Pico, Windows MR, and has a VR simulator. Simple VR scenes can be created in just a few lines of Lua. Writen in C99 and scripted with LuaJIT,... -
18
ds4.c
DeepSeek 4 Flash local inference engine for Metal
...Built as a native low-level implementation, it focuses on performance, reduced abstraction overhead, and direct integration with Apple GPU acceleration through Metal compute graphs. The project also supports streaming inference behavior and local API serving for integration with external tools and AI applications. Overall, ds4 represents a minimalist high-performance approach to running large language models locally without relying on heavyweight inference frameworks. -
19
ANE Training
Training neural networks on Apple Neural Engine via APIs
...The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by interfacing with private classes such as _ANEClient and compiling custom compute graphs in the MIL format. The project includes performance benchmarks and kernel breakdowns that show how different components of the training loop are distributed between the ANE and CPU. It is primarily intended as a research and educational proof of concept rather than a production library, highlighting what is technically possible with undocumented hardware access. -
20
COCOON
Confidential Compute Open Network, Decentralized AI Inference on TON
COCOON is a privacy-aware desktop client framework designed by the developers of Telegram to provide a modern, secure, and extensible environment for building messaging and communication applications. At its core, it combines native desktop performance with web-like flexibility, packing a renderer, UI components, and plugin architecture that allows developers to craft rich experiences similar to those found in native apps. Cocoon’s architecture prioritizes privacy and security, making it... -
21
OpenTinker
OpenTinker is an RL-as-a-Service infrastructure for foundation models
...Traditional RL setups can be monolithic and difficult to configure, but OpenTinker separates concerns across agent definition, environment interaction, and execution, which lets developers focus on defining the logic of agents and environments separately from how training and inference are run. It introduces a centralized scheduler to manage distributed training jobs and shared compute resources, enabling workloads like reinforcement learning, supervised fine-tuning, and inference to run across multiple settings. The architecture supports a range of single-turn and multi-turn agentic tasks with a design that abstracts away infrastructure complexity while offering flexible Python APIs to define environments and workflows. -
22
ngraph.path
Path finding in a graph
ngraph.path is a JavaScript library that implements efficient pathfinding algorithms for graphs, primarily designed to compute shortest paths in weighted or unweighted networks. It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to different types of graph structure and performance needs. ... -
23
DeployStack
Centralized credential vault, governance, and token optimization
DeployStack is an open-source framework that helps developers and teams define and deploy production infrastructure stacks using modular, reusable templates, often with IaC (infrastructure as code) principles. It provides a structured way to compose resources such as cloud networking, compute, and managed services into coherent deployment blueprints that can be versioned and reused across projects. By abstracting common deployment patterns and capturing them as templates, Deploystack reduces duplication of effort that typically occurs when setting up stacks for different applications or environments. The project emphasizes repeatability and clarity, enabling teams to follow best practices for scalability, security, and operational reliability without hand-crafting deployment scripts for every new service. ... -
24
EC2Instances.info
Amazon EC2 instance comparison site
ec2instances is an open-source project that powers an intuitive, searchable comparison site for Amazon EC2 instance types, helping developers and cloud architects quickly evaluate compute options without the friction of navigating multiple AWS console screens. The site aggregates key metrics — including CPU, memory, storage, networking specs, and pricing — across many instance families, and lets users filter, sort, and visually compare configurations side by side. It was created to simplify decision-making for cloud provisioning, making it easier to choose the best instance type for performance and cost goals, and it’s maintained by the Vantage community to stay updated with current AWS offerings and user suggestions. ... -
25
sebastian/diff
Diff implementation
diff is a standalone PHP library for computing and rendering textual differences, widely used to display “expected vs actual” output in testing tools. It supports line-based and character/word-granular comparisons so you can get both coarse and fine-grained views of changes. Output builders can produce formats like unified or context diffs, or more human-friendly renderings suitable for terminals and HTML reports. Internally, the library splits input into hunks and manages edge cases such as...
