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

openmp examples

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Nim utilities for advanced CPU operations: CPU identification, ISA extension detection, bindings to assorted intrinsics

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.

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oneAPI Math Kernel Library (oneMKL) Interfaces

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OpenCL integration for Python, plus shiny features

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

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

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

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

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

A fast work-stealing queue template in C++

1st place solution

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Code for Pointwise Convolutional Neural Networks, CVPR 2018

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Repository for different network models related to flow/disparity (ECCV 18)

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

Trains a model, then generates a complete Xcode project that uses it - no code necessary

High-quality Neural Networks for Computer Vision 😎

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

PyTorch implementation of LeNet-5 with live visualization

A High-performance Cluster Computing Engine

Training and inference code for ExpandNet

CUDA-Warp RNN-Transducer

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

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A collection of Natural language processing pre-trained models.

Programmable Neural Network Compression

A list of computer-science readings I recommend

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

TensorFlow implementation of "SoundNet".

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Execution primitives for C++

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Credit card fraud detection through logistic regression, k-means, and deep learning.

Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search