177 Open source projects that are alternatives of or similar to Pen Net For Inpainting

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

PyTorch implementation of some attentions for Deep Learning Researchers.

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A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

A Keras Implementation of Attention_based Siamese Manhattan LSTM

Attention-based multimodal fusion for sentiment analysis

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Machine learning, in numpy

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

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Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

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A Tensorfflow implementation of Attend, Infer, Repeat

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My Attempt(s) In The World Of ML/DL....

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

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[ICLR 2021] Is Attention Better Than Matrix Decomposition?

Keras Implementation of Aspect based Sentiment Analysis

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Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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Punctuation restoration and spell correction experiments.

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Julia Implementation of Transformer models

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

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DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

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Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

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