101 Open source projects that are alternatives of or similar to OpenNMT-kpg-release

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

A keyphrase extractor for Persian

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

Awesome Pytorch Tutorials

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

AdaSpeech: Adaptive Text to Speech for Custom Voice

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Pytorch implementation of the Loc2Vec with some modifications for speed

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Implement of Dynamic Model Pruning with Feedback with pytorch

VNet for 3d volume segmentation

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

Semantics-guided Part Attention Network (ECCV 2020 Oral)

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

百度搜索关键词，刷点击

Reproduce some methods in semi-supervised papers.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

简单高效的URL关键词提取工具

PyTorch implementation of EfficientNetV2 family

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

Source code for our "TitleStylist" paper at ACL 2020

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

A simple no-API voice command assitant

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Vision Transformer for 3D medical image registration (Pytorch).

Torrent Keyword Search, Schedule & Alert #BuildWithMeteorJS

A curated list of backlink, social signal opportunities, and link building strategies and tactics to help improve search engine results and ranking.

PyTorch Implementation for Neural Graph Collaborative Filtering

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

A clean and lucid implementation of cycleGAN using PyTorch

🔥 OpenPose api wrapper in PyTorch.

The implementation of 3D-UNet using PyTorch

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

A Java library for Rapid Automatic Keyword Extraction (RAKE) 🍂

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

An Alchemy API library for Node.JS

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954