1274 Open source projects that are alternatives of or similar to Ctranslate2

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

oneAPI Deep Neural Network Library (oneDNN)

Guided Missile, Radar and Infrared EOS Simulation Framework written in Fortran.

⚡️⚡️⚡️Blazing fast correlation functions on the CPU.

Examples of C# code compiled to GPU by hybridizer

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

SIMD Vector Classes for C++

An open-source solver tool for the Maxwell-Bloch equations.

Boost SIMD

Agenium Scale vectorization library for CPUs and GPUs

Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:

Corium is a modern scripting language which combines simple, safe and efficient programming.

CPU Based Rasterizer Engine

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Script to remotely check GPU servers for free GPUs

SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT

C++ library for solving large sparse linear systems with algebraic multigrid method

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

Embedded and mobile deep learning research resources

A General-purpose Parallel and Heterogeneous Task Programming System

OpenCL integration for Python, plus shiny features

Achieve peak performance on x86 CPUs and NVIDIA GPUs

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

A flexible framework of neural networks for deep learning

DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

⛔ DEPRECATED ⛔ HERO Software Development Kit

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

This is a set of simple programs that can be used to explore the features of a parallel platform.

A fast Clojure Tensor & Deep Learning library

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

This repository consists for gpu bootcamp material for HPC and AI

NumPy & SciPy for GPU

stdgpu: Efficient STL-like Data Structures on the GPU

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Fast Neural Machine Translation in C++

Embedded language for high-performance array computations

N body gravity attraction problem solver

Implementations of SIMD instruction sets for systems which don't natively support them.

LLVM backend for Accelerate

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

How fast can we brute force a 64-bit comparison?

A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

SIMD macro assembler unified for ARM, MIPS, PPC and x86

Application of machine learning to the Coinbase (GDAX) orderbook

Realtime raytracer using SIMD on ARM, MIPS, PPC and x86

UME::SIMD A library for explicit simd vectorization.

Tutorial for using Singularity containers

openmp examples

Fast Neural Machine Translation in C++ - development repository

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Base container for developing C++ and Fortran HPC applications

No description or website provided.