Search Results for "c-support.vim" - Page 89
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Showing 78729 open source projects for "c-support.vim"
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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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Serverless Framework
The easy and open way to build serverless applications
Serverless Framework gives you everything you need to build serverless applications on any cloud. It provides structure, workflow automation and best practices out-of-the-box so you can deploy sophisticated serverless architectures. It uses new, event-driven compute services, such as AWS Lambda, Azure Functions, Google CloudFunctions and more. Serverless Framework lets you build apps made up of microservices that run in response to events. These auto-scale and will only charge you when... -
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LibPQ.jl
A Julia wrapper for libpq
LibPQ.jl is a Julia wrapper for the PostgreSQL libpq C library. -
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xFormers
Hackable and optimized Transformers building blocks
...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. It also integrates with PyTorch seamlessly so you can drop in its blocks to existing models, replace default attention layers, or build new architectures from scratch. xformers includes training, deployment, and memory profiling tools. -
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CloudCompare
CloudCompare main repository
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also meant to deal with huge point clouds (typically more than 10 million points, and up to 120 million with 2 GB of memory). -
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Transformer Engine
A library for accelerating Transformer models on NVIDIA GPUs
...TE provides a collection of highly optimized building blocks for popular Transformer architectures and an automatic mixed precision-like API that can be used seamlessly with your framework-specific code. TE also includes a framework-agnostic C++ API that can be integrated with other deep-learning libraries to enable FP8 support for Transformers. As the number of parameters in Transformer models continues to grow, training and inference for architectures such as BERT, GPT, and T5 become very memory and compute-intensive. Most deep learning frameworks train with FP32 by default. ... -
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ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance bound of the used Nvidia P100 GPU, as defined by the effective throughput metric, T_eff. ... -
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PackageCompiler
Compile your Julia Package
Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. You can save loaded packages... -
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Matterhorn
A feature-rich Unix terminal client for the Mattermost chat system
Matterhorn is a terminal client for the Mattermost chat system. We provide pre-built binary releases for some platforms. Please see the release list to download a binary release for your platform that matches your server version. When you run Matterhorn you'll be prompted for your server URL and credentials. To connect, just paste your web client's Mattermost URL into the Server URL box and enter your credentials. See the Matterhorn User Guide on the details for providing each kind of... -
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gotestsum
'go test' runner with output optimized for humans, JUnit XML for CI
...The tests will be re-run until each passes once, or the number of attempts exceeds the maximum attempts. Maximum attempts defaults to 2, and can be changed with --rerun-fails=n. gotestsum supports executing a compiled test binary (created with go test -c) by running it as a custom command. pkgname is the name of the package being tested, it will show up in the test output. ./binary.test is the path to the compiled test binary. The -test.v must be included so that go tool test2json receives all the output. When the --watch flag is set, gotestsum will watch directories using file system notifications. -
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gojq
Pure Go implementation of jq
This is an implementation of jq command written in Go language. You can also embed gojq as a library to your Go products. gojq is purely implemented with Go language and is completely portable. jq depends on the C standard library so the availability of math functions depends on the library. jq also depends on the regular expression library and it makes building scripts complex. gojq implements nice error messages for invalid query and JSON input. The error message of jq is sometimes difficult to tell where to fix the query. gojq does not keep the order of object keys. ... -
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IVY
The Unified Machine Learning Framework
...Implement the model in PyTorch yourself, spending time and energy ensuring every detail is correct. Otherwise, wait for a PyTorch version to appear on GitHub, among the many re-implementation attempts that appear (a, b, c, d, e, f). Instantly transpile the JAX model to PyTorch. This creates an identical PyTorch equivalent of the original model. -
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Scala Native
Your favorite language gets closer to bare metal
Scala Native is an optimizing ahead-of-time compiler and lightweight managed runtime designed specifically for Scala. Pointers, structs, you name it. Low-level primitives let you hand-tune your application to make it work exactly as you want it to. You’re in control. Calling C code has never been easier. With the help of extern objects you can seamlessly call native code without any runtime overhead. Scala Native is compiled ahead of time via LLVM. This means that there is no sluggish warm-up phase that’s common for just-in-time compilers. Your code is immediately fast and ready for action. Scala Native requires Clang, which is part of the LLVM toolchain. ... -
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Kubetail
Bash script to tail Kubernetes logs from multiple pods
Bash script that enables you to aggregate (tail/follow) logs from multiple pods into one stream. This is the same as running "kubectl logs -f " but for multiple pods. Just download the kubetail file (or any of the releases) and you're good to go. Note that you may need to run compinit for zsh to pick-up the changes in the competition after having upgraded from the non-abbreviated installation. If you're using a ZSH plugin manager, you can install kubetail as a plugin. kubetail itself doesn't... -
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kafka-go
Kafka library in Go
...It also passes all values as pointers which causes large numbers of dynamic memory allocations, more frequent garbage collections, and higher memory usage. confluent-kafka-go is a cgo based wrapper around librdkafka, which means it introduces a dependency to a C library on all Go code that uses the package. It has much better documentation than sarama but still lacks support for Go contexts. goka is a more recent Kafka client for Go which focuses on a specific usage pattern. It provides abstractions for using Kafka as a message passing bus between services rather than an ordered log of events. -
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tvm
Open deep learning compiler stack for cpu, gpu, etc.
...Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. Start using TVM with Python today, build out production stacks using C++, Rust, or Java the next day. -
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uutils coreutils
Cross-platform Rust rewrite of the GNU coreutils
...Many GNU, Linux and other utilities are useful, and obviously some effort has been spent in the past to port them to Windows. However, those projects are written in platform-specific C, a language considered unsafe compared to Rust, and have other issues. Rust provides a good, platform-agnostic way of writing systems utilities that are easy to compile anywhere, and this is as good a way as any to try and learn it. The requirements are to have Rust (cargo, rustc), GNU Make (required to build documentation), Sphinx (for documentation), and gzip (for installing documentation). uutils follows Rust's release channels and is tested against stable, beta and nightly. ... -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
...We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations. -
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OpenFL
Open source library for creative expression on the web, desktop, etc.
...OpenFL supports 2D and limited 3D graphics rendering, audio playback, advanced user input (mouse, touch, keyboard, gamepads), rich text formatting, asset management, networking, and file system access, making it a comprehensive foundation for interactive experiences. Projects written with OpenFL can compile to native C++ executables, JavaScript/WebGL for web, or run through app runtimes like Electron without plugins, enabling high performance and broad reach. -
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iOS Interview Questions
iOS interview questions
This repository collects a broad, categorized list of interview questions (with expected answers) that are commonly asked in iOS or Swift engineering interviews. Topics range from language fundamentals (memory management, ARC, value vs. reference types), to UIKit/SwiftUI, concurrency, Grand Central Dispatch, background execution, networking, design patterns, system frameworks, and architecture decisions. Each question is usually backed by sample explanations or code snippets, helping... -
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Pry
A runtime developer console and IRB alternative
Pry is a powerful alternative to Ruby’s default REPL that doubles as a runtime exploration and debugging toolkit. It offers command-driven navigation of objects and modules, syntax-highlighted input, command history, and the ability to switch contexts or “cd” into objects to inspect their methods and state. Features like show-source and show-doc reveal the implementation or documentation of methods without leaving the console, while edit-method lets you jump into an editor, modify code, and... -
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GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
...AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel. AWK was released in 1977, which makes it over 40 years old! Not bad for a domain-specific language that’s still used for one-liners on Unix command lines everywhere. GoAWK is a POSIX-compatible version of AWK, and additionally has a CSV mode for reading and writing CSV and TSV files. ... -
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Triton Inference Server
The Triton Inference Server provides an optimized cloud
...Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases. -
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SHAP
A game theoretic approach to explain the output of ml models
...It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions. While SHAP can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods. Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark tree models. To understand how a single feature effects the output of the model we can plot the SHAP value of that feature vs. the value of the feature for all the examples in a dataset. Since SHAP values represent a feature's responsibility for a change in the model output, the plot below represents the change in predicted house price as RM (the average number of rooms per house in an area) changes. -
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Eclair
A scala implementation of the Lightning Network
Eclair (French for Lightning) is a Scala implementation of the Lightning Network. This software follows the Lightning Network Specifications (BOLTs). Other implementations include c-lightning, lnd, electrum, and rust-lightning. Eclair offers a feature-rich HTTP API that enables application developers to easily integrate. Eclair's JSON API should NOT be accessible from the outside world (similarly to Bitcoin Core API). Eclair requires Bitcoin Core 0.20.1 or 0.21.1. (other versions of Bitcoin Core are not actively tested - use at your own risk). ... -
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Puma
A Ruby/Rack web server built for concurrency
Unlike other Ruby Webservers, Puma was built for speed and parallelism. Puma is a small library that provides a very fast and concurrent HTTP 1.1 server for Ruby web applications. It is designed for running Rack apps only. What makes Puma so fast is the careful use of a Ragel extension to provide fast, accurate HTTP 1.1 protocol parsing. This makes the server scream without too many portability issues. If you are using Bundler, just add Puma to your project's Gemfile. Once you've installed...
