1086 Open source projects that are alternatives of or similar to Marian

Pytorch Bindings for warp-ctc

iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use!

Classifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).

Generate displacement fields with known volume changes

Making it easier to work with shaders

A simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.

A UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.

A framework for quantum computing with hardware acceleration.

💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)

Sample codes for my CUDA programming book

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries. OrientDB Community Edition is Open Source using a liberal Apache 2 license.

Ruby gem for ANSI terminal colors 🎨︎ VERY FAST

GPU accelerated multigrid library for Python

[maintenance mode] A low-overhead Vulkan-like GPU API for Rust.

NVIDIA-accelerated zero latency video compression library for interactive remoting applications

Distributed Deep Learning using AzureML

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

Dead simple CLI tool to try Python packages - It's never been easier! 📦

a language for fast, portable data-parallel computation

Next-generation HTML renderer for apps and games

VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.

Visualization for simple attention and Google's multi-head attention.

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

qihoo360 xlearning with GPU support; AI on Hadoop

Stereo Semi Global Matching by cuda

To speedup and simplify image labeling/ annotation process with multiple supported formats.

✨🚀 Blazing fast, inferred static type checker for JavaScript.

A code generator for array-based code on CPUs and GPUs

MashaRoBot : 📑Editor's choice

a very fast brute force webshell password tool

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

Dimensional charting built to work natively with crossfilter rendered using d3.js

GPU-accelerated Cloth TOP node for TouchDesigner using the NVIDIA Flex physics solver.

Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

Fast k nearest neighbor search using GPU

Fastest lz4 compression library in Node.js, powered by napi-rs and lz4-flex.

A Docker image for PyTorch

GPGPU Javascript library 🐸

Runs your tasks at maximum concurrency

Fast NumPy array functions written in C

Particle-in-Cell Simulations for the Exascale Era ✨

Training deep learning models on AWS and GCP instances

a radical and experimental distribution based on musl libc and busybox

RealSR super resolution implemented with ncnn library

🔥快速轮播图，支持自定义布局和使用自有图片显示组件

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

CUDA bindings for Ruby

Language and compiler for the Raspberry Pi GPU

Let's jump into CUDA development with Rust

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Unsupervised Learning of Video Representations using LSTMs

The fastai deep learning library

Simple autocomplete pure vanilla Javascript library.

A fast, lightweight and more productive microservices framework

phi: gpu accelerated code-editor; definitely not to be confused phonetically with vi.

OCaml bindings for PyTorch

A Reliable, Flexible, Fast and Powerful download engine.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.