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Search results for natural language processing self attention
natural-language-processing
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self-attention
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3 search results found
Codesearchnet
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2,054
Datasets, tools, and benchmarks for representation learning of code.
Bert_language_understanding
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886
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Deep_learning_nlp
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359
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Neat Vision
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175
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
Perceiver Io
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110
Unofficial implementation of Perceiver IO
Pytorch Question Answering
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102
Important paper implementations for Question Answering using PyTorch
Self Attention Keras
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77
自注意力与文本分类
Transformerx
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49
Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)
Structured Self Attentive Sentence Embedding
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23
Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017
Cvdd Pytorch
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14
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
Attentionvisualizer
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10
A simple library to showcase highest scored words using RoBERTa model
Self Attention
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9
Transformer的完整实现。详细构建Encoder、Decoder、Self-attentio
Arenets
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7
Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
Transformers In Java
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7
Experimental project for AI and NLP based on Transformer Architecture
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1-3 of 3 search results
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