Search Results for "distribution" - Page 2
Sort By:
Showing 70 open source projects for "distribution"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch 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.
-
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.
-
1
Gen.jl
A general-purpose probabilistic programming system
...But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. Users can also hand-code parts of their models that demand better performance. Neural network inference is fast, but can be inaccurate on out-of-distribution data, and requires expensive training. -
2
cuDF
GPU DataFrame Library
...For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed with conda (miniconda, or the full Anaconda distribution) from the rapidsai channel. cuDF is supported only on Linux, and with Python versions 3.7 and later. 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
Keybase client
Keybase Go library, client, service, OS X, iOS, Android, Electron
...Don’t live dangerously when it comes to documents. Keybase can store your group’s photos, videos, and documents with end-to-end encryption. You can set a timer on your most sensitive messages. This distribution includes cryptographic software. The country in which you currently reside may have restrictions on the import, possession, use, and/or re-export to another country, of encryption software. BEFORE using any encryption software, please check your country's laws, regulations and policies concerning the import, possession, or use, and re-export of encryption software. -
4
Scala 2
Scala 2 compiler and standard library
Scala combines object-oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries. Scastie is Scala + sbt in your browser! You can use any version of Scala, or even alternate backends such as Dotty, Scala.js, Scala Native, and Typelevel Scala. You can use any published library. You can save and... -
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
LuaBinaries is a distribution of the Lua libraries and executables compiled for several platforms.
-
6
Google Fonts
Font files available from Google Fonts, and a public issue tracker
This is the central GitHub repository for Google Fonts, containing font binaries, metadata, and tools for uploading new typeface families. It serves as the staging area for fonts and follows stringent licensing structures. The top-level directories indicate the license of all files found within them. Subdirectories are named according to the family name of the fonts within. The /catalog subdirectory contains additional metadata, such as profile texts and portrait/avatar images of font... -
7
Sonnet
TensorFlow-based neural network library
Sonnet is a neural network library built on top of TensorFlow designed to provide simple, composable abstractions for machine learning research. Sonnet can be used to build neural networks for various purposes, including different types of learning. Sonnet’s programming model revolves around a single concept: modules. These modules can hold references to parameters, other modules and methods that apply some function on the user input. There are a number of predefined modules that already... -
8
Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels,... -
9
...If you use Maven (recommended), just add CollLib as a dependency in your project's pom.xml file (groupId=org.colllib, artifactId=colllib). Apart from the Maven distribution the CollLib binaries are also available in the "Files" section. When using the manual download from there, you also need to include the following jar files in your project: juel-api-2.2.7.jar, juel-impl-2.2.7.jar, commons-beanutils-core-1.8.3.jar and commons-logging-1.1.1.jar API: http://colllib.sourceforge.net/apidoc/ NEW: colllib switches to Java 8 starting with colllib 2.0. ...
-
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.
-
10
TurboPFor
Fastest Integer Compression
Fastest Integer Compression. ALL functions are available for AMD/Intel, 64-bit ARMv8 NEON Linux+MacOS/M1 & Power9 Altivec. 100% C (C++ headers), as simple as memcpy. OS:Linux amd64, arm64, Power9, MacOs (Amd/intel + Apple M1). -
11
NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
...The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. ... -
12
DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. ... -
13
LibRan
Random Variate generators for various distributions.
...The libary contains its own optimized sequential congruential uniform pseudo-random number generator on the interval x ∈ [0, 1) ; along with useful tools such as methods for collecting statistics in bins. Each of the random variate distributions rely on a number of internal attributes to customize the distribution. The library is written in an object oriented fashion (in C) such that each object's attributes and random number generator is separate from every other object. There are also generic routines for calling the various specialized routines for the given random variate distribution. -
14
RetroLab
JupyterLab distribution with a retro look and feel
RetroLab (also known as JupyterLab Retro, previously called JupyterLab Classic) is a JupyterLab distribution with a retro look and feel, more similar to the classic Jupyter notebook. -
15
YaBASIC libs 2
Libraries for the yabasic interpreter
...Not tested on other UNIX platforms, but it should be possible to adjust them accordingly. This site contains a rethink of my earlier libraries collection (https://sourceforge.net/projects/yabasiclibs/). See the README for details. Distribution is via source code in the git repository only. Licensed according to the WTFPL. -
16
gnu-utils
tar,rsync and openreports distribution
This project contains the old versions of rsync, GNU tar and OpenReports if anybody still wants to use the old versions. Even though the sources are available for the old versions, the compiled binaries are not available always and this project maintains the old versions of the binaries for your use -
17
JNativeHook
Global keyboard and mouse listeners for Java
JNativeHook is a library to provide global keyboard and mouse listeners for Java. This will allow you to listen for global shortcuts or mouse motion that would otherwise be impossible using pure Java. To accomplish this task, JNativeHook leverages platform-dependent native code through Java's native interface to create low-level system-wide hooks and deliver those events to your application. -
18
On Books
Readings and notes on the past, present, and future of books
...It includes commentary on writing platforms, self-publishing ecosystems, and design of reading experiences, making it useful to writers, educators, technologists, and book-enthusiasts alike. Rather than simply listing titles, the project links readings to categories like writing tools, reading devices, publishing models, and distribution systems, helping you place each resource in context. The author invites contributions and suggestions, reflecting that the project is both a personal log and a community resource. -
19
CDN Up and Running
CDN Up and Running - Building a CDN from Scratch to Learn about CDN
...The repository combines theoretical explanations with hands-on implementation, allowing developers to understand both the concepts and practical challenges of CDN design. It starts with a simple backend service and progressively evolves into a distributed, multi-node system capable of handling caching, routing, and traffic distribution. The project uses technologies such as Nginx, Lua, Docker, Prometheus, and Grafana to simulate realistic CDN environments and monitoring systems. It also explores performance considerations, including latency simulation, load balancing, and scalability. By integrating observability tools, it enables users to analyze system behavior and performance metrics. -
20
sc
Common libraries and data structures for C
...High performance & minimal memory usage. Portability between many operating systems and architectures. Tests with 100% branch coverage and multiple sanitizers. Drag & drop source code distribution. There is 100% branch coverage on Linux. Buffer for encoding/decoding variables, best fit for protocol/serialization implementations. Signal safe snprintf & Signal handler (handling CTRL+C, printing backtrace on crash etc). I often use these libraries for high-performance server-side applications. Also, I care about readable and easy-to-debug code. ... -
21
Probability Cheatsheet
A comprehensive 10-page probability cheatsheet
The probability_cheatsheet is a cheat sheet repository that summarizes key probability theory concepts, formulas, distributions, and properties in a concise format. It likely includes definitions of random variables, PMFs and PDFs, expectations, variance, common distributions (e.g. binomial, normal, Poisson, exponential), conditional probability, Bayes’ theorem, moment generating functions, and perhaps important inequalities (Markov, Chebyshev, Chernoff). The cheat sheet is intended as a... -
22
vcproj2cmake
Visual Studio .vc[x]proj to CMakeLists.txt (make, Ninja ...) enabler
Elaborate Visual Studio .vcxproj / .vcproj projects to CMakeLists.txt converter, enabling Makefile or Ninja or IDE builds, i.e. full multi-platform CMake functionality (Linux, Mac, Windows...). Live Update capability: supports side-by-side tracking of evolving original proj files, within build tree!! Script hooks for static CMake defs, powerful definition-to-variable mapping. Access to project data content is via git repository _only_ (it's a developer infrastructure project, thus... -
23
Pyrlang
Erlang node implemented in Python 3.5+ (Asyncio-based)
This is a drop-in Erlang node implementation in Python 3, implementing a network Erlang node protocol. It was designed to allow interoperation between existing Python projects and BEAM languages: Erlang, Elixir, Gleam, Luaerl, LFE, Clojerl, and such. With just a few lines of startup code your Python program becomes an Erlang network node, participating in the Erlang cluster. -
24
globjects
C++ library strictly wrapping OpenGL objects.
globjects is a cross-platform C++ wrapper for OpenGL API objects. globjects provides object-oriented interfaces to the OpenGL API (3.0 and higher). It reduces the amount of OpenGL code required for rendering and facilitates coherent OpenGL use by means of an additional abstraction layer to glbinding and GLM. Common rendering tasks and processes are automated and missing features of specific OpenGL drivers are partially simulated or even emulated at run-time. -
25
spf13-vim
The ultimate vim distribution
spf13-vim is a classic “Vim distribution” that bundles a thoughtfully curated set of plugins, keymaps, and defaults to make Vim productive right after installation. It was designed to be opinionated but approachable, offering consistent motions, a polished statusline, and sensible editing behaviors across languages. The distribution standardizes plugin management and wiring so users don’t have to chase configuration snippets from blog posts.
