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

Data Reading Blocks for Python

kaldi-asr/kaldi is the official location of the Kaldi project.

Open neural machine translation models and web services

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

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

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

The source code of ECCV16 'Deep Joint Image Filtering'.

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

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

Efficient reservoir sampling implementation for PyTorch

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PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"

🙄 Difficult algorithm, Simple code.

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Attention-guided CNN for image denoising(Neural Networks,2020)

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

A collection of materials to help you learn about deep learning

Flops counter for convolutional networks in pytorch framework

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Official source code for our paper "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation" (CVPR 2020)

Deep Texture Encoding Network

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

CRF-RNN PyTorch version http://crfasrnn.torr.vision

ConvNets for Audio Recognition using Google Commands Dataset

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AutoDock for GPUs and other accelerators

DLTK Model Zoo

Gradient Boosting powered by GPU(NVIDIA CUDA)

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

MobilNet-SSD object detection in opencv 3.4.1

High-quality Neural Networks for Computer Vision 😎

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

A High-performance Cluster Computing Engine

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Top 200 deep learning Github repositories sorted by the number of stars.

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

Training and inference code for ExpandNet

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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The SIMD-accelereted ray tracing in C# powered by Intel hardware intrinsic of .NET Core.