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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/teddykoker/image-forensics

Image Forensics: Detecting duplication of scientific images with manipulation-invariant image similarity

https://github.com/telecombcn-dl/2018-dlcv-team2

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/tensorflow/models/tree/master/research/gan

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/tensorflow/models/tree/master/research/im2txt

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/tensorflow/models/tree/master/research/neural_gpu

Can Active Memory Replace Attention?

https://github.com/tensorflow/models/tree/master/research/skip_thoughts

Exploiting Similarities among Languages for Machine Translation

https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/models/research/neural_stack.py

Learning to Transduce with Unbounded Memory

https://github.com/tensorops/TransformerX

Attention Is All You Need

https://github.com/tensorpack/tensorpack/tree/master/examples/GAN

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/tensorpack/tensorpack/tree/master/examples/SpatialTransformer

Spatial Transformer Networks

https://github.com/terne/dtuproject

Deep Reinforcement Learning for Programming Language Correction

https://github.com/text-machine-lab/transformerpy

Attention Is All You Need

https://github.com/textflint/textflint

Synthetic and Natural Noise Both Break Neural Machine Translation

https://github.com/thanhlong1997/bert_quora

Attention Is All You Need

https://github.com/the-Quert/iNLPfun

Attention Is All You Need

https://github.com/theQuert/inlpfun

Attention Is All You Need

https://github.com/theamrzaki/text_summurization_abstractive_methods

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/theburgman21/Pix2Pix-Deblurrer

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/thecodemasterk/BERT

Attention Is All You Need

https://github.com/thefonseca/factorsum

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://github.com/thejohncrafter/flows

Lectures on Jacques Herbrand as a Logician

https://github.com/theowu23451/DRAM

Recurrent Models of Visual Attention

https://github.com/thesps/conifer

Fast inference of Boosted Decision Trees in FPGAs for particle physics

https://github.com/thomlake/pytorch-attention

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/thompsonb/fairseq-smrt

Simulated Multiple Reference Training Improves Low-Resource Machine Translation

https://github.com/thompsonb/prism_bitext_filter

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

https://github.com/threeracha/Chuibbo-Flask-Server

StarGAN v2: Diverse Image Synthesis for Multiple Domains

https://github.com/thtang/CheXNet-with-localization

Learning to diagnose from scratch by exploiting dependencies among labels

https://github.com/thu-coai/NAST

A Probabilistic Formulation of Unsupervised Text Style Transfer

https://github.com/thu-cvml/texturediffusion

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

https://github.com/thuml/Transfer-Learning-Library

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

https://github.com/thunlp/TensorFlow-Summarization

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/tianhai123/-

Tensor2Tensor for Neural Machine Translation

https://github.com/tianhai123/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/tianyu-tristan/Visual-Attention-Model

Recurrent Models of Visual Attention

https://github.com/tilde-nlp/multilingual-nmt-data-prep

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

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