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Search results for pytorch embeddings
embeddings
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pytorch
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157 search results found
Sentence Transformers
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12,951
Multilingual Sentence & Image Embeddings with BERT
Pytorch Metric Learning
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5,683
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Pytorch Sentiment Analysis
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4,133
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Pytorch Biggraph
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3,326
Generate embeddings from large-scale graph-structured data.
Siamese Triplet
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2,853
Siamese and triplet networks with online pair/triplet mining in PyTorch
Lightly
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2,665
A python library for self-supervised learning on images.
Awesome Network Embedding
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2,218
A curated list of network embedding techniques.
Pytorch Nlp
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2,180
Basic Utilities for PyTorch Natural Language Processing (NLP)
Llmware
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1,859
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Poincare Embeddings
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1,607
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Hmtl
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1,176
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Bert Extractive Summarizer
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1,096
Easy to use extractive text summarization with BERT
Inltk
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808
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Speedtorch
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559
Library for faster pinned CPU <-> GPU transfer in Pytorch
Vectorhub
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543
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Compgcn
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519
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Nlp_pytorch_project
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517
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Pymde
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480
Minimum-distortion embedding with PyTorch
Deepnlp Course
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479
Deep NLP Course
Stackgan Pytorch
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457
Treelstm.pytorch
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434
Tree LSTM implementation in PyTorch
Img2vec
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426
🔥 Use pre-trained models in PyTorch to extract vector embeddings for any image
Structured Self Attention
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412
A Structured Self-attentive Sentence Embedding
Vsepp
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396
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
Neuronlp2
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358
Deep neural models for core NLP tasks (Pytorch version)
Recnn
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313
Reinforced Recommendation toolkit build around pytorch 1.7
Attentionwalk
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299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Vectorai
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299
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Pykg2vec
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294
Python library for knowledge graph embedding and representation learning.
Self Driving Truck
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271
Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
Text2text
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268
Text2Text: Crosslingual NLP/G toolkit
Dvector
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234
Speaker embedding (d-vector) trained with GE2E loss
Magnetloss Pytorch
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213
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Protein Sequence Embedding Iclr2019
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203
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
Angular Penalty Softmax Losses Pytorch
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185
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Dcc
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179
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
Kbgan
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170
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Laserembeddings
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163
LASER multilingual sentence embeddings as a pip package
Vame
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140
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Fine Grained Sentiment
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126
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Pytorch_xvectors
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120
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
Coreference Resolution
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118
Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).
Pytorch Pos Tagging
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109
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Bert Keyphrase Extraction
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102
Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10
Entity Embed
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98
PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
Hierarchical Sentiment
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96
Hierarchical Models for Sentiment Analysis in Pytorch
Lda2vec Pytorch
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94
Topic modeling with word vectors
Hash Embeddings
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93
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
Histogramloss
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88
This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
100 Days Of Nlp
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83
Pytorch Wordemb
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83
Load pretrained word embeddings (word2vec, glove format) into torch.FloatTensor for PyTorch
Deep Clustering
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81
deep clustering method for single-channel speech separation
Softtriple
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75
PyTorch Implementation for SoftTriple Loss
Hbmp
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75
Sentence Embeddings in NLI with Iterative Refinement Encoders
R Men
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70
Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
Contiguous Succotash
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70
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
Dreml
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66
PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)
Pytorch_sentiment_rnn
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64
Example Recurrent Neural Networks for Sentiment Analysis (Aspect-Based) on SemEval 2014
Graphml Tutorials
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63
Tutorials for Machine Learning on Graphs
Positional Encoding
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63
Encoding position with the word embeddings.
Lorentz Embeddings
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62
Embed arbitrary graphs in Hyperbolic space
Pytorch_bert_elmo_example
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62
A text classification example with Bert/ELMo/GloVe in pytorch
Zsl Gcn Pth
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57
zero-shot-gcn in pytorch
Text Summarization
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57
Text Summarization using Pointer Attention Models
Cachedembedding
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56
A memory efficient DLRM training solution using ColossalAI
Code Intelligence
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55
ML-Powered Developer Tools, using Kubeflow
Idgl
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55
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
Quate
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54
Pytorch implementation of Quaternion Knowledge Graph Embeddings.
Char Rnn Text Generation
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54
Character Embeddings Recurrent Neural Network Text Generation Models
Mkb
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54
Knowledge Base Embedding By Cooperative Knowledge Distillation
Updown Baseline
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48
Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".
Multimodalgame
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48
Cool Nlpcv
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48
Some Cool NLP and CV Repositories and Solutions (收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等)
Proteingcn
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47
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Deep Clustering For Speech Separation
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46
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
Matchlstm Pytorch
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43
a pytorch implementation of match lstm question answering model
Protein Localization
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43
Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬
Tce
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39
This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
Factorized Tdnn
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38
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Pytorch Starspace
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37
PyTorch implementation of StarSpace as described in "StarSpace: Embed All The Things!" by Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes and Jason Weston
Nlp_workshop_odsc_europe20
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36
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
Pytorch Continuous Bag Of Words
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36
The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.
Causal Bert Pytorch
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36
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
Box Embeddings
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35
Box Embeddings as Modules
Transformers Embedder
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34
A Word Level Transformer layer based on PyTorch and 🤗 Transformers.
Playing_with_vae
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34
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Layerdenoise
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33
Neural Denoising with Layer Embeddings
Interacte
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33
AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Pytorch Elmo Bilstmcrf
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32
PyTorch BiLSTMCRF w Elmo
Spherereid
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32
My implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Nlp Experiments In Pytorch
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31
PyTorch repository for text categorization and NER experiments in Turkish and English.
Neuralnetworks_course
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31
Vsl
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31
Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)
Pytorch Definitions
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30
Conditional Generators of Words Definitions, ACL 2018
Simplerepresentations
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29
Easy-to-use text representations extraction library based on the Transformers library.
Proqa
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29
Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval
Sarcasm Detection Using Nn
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27
This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.
Skip Gram Model Pytorch
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27
PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE
Question Answering
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27
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