https://github.com/racinmat/anime-style-transfer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
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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/radoslawkrolikowski/sentiment-analysis-pytorch
https://github.com/radpet/fake-news-detector
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
https://github.com/ragerri/antidote-projections
No Language Left Behind: Scaling Human-Centered Machine Translation
https://github.com/raghavmalawat/presentationmastery
https://github.com/rahul263-stack/Self-Driving-Car
Virtual to Real Reinforcement Learning for Autonomous Driving
https://github.com/rahulcoding/CheXNet
Learning to diagnose from scratch by exploiting dependencies among labels
https://github.com/rahuls02/Image-Noise-Reduction
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/railgun202/stylized-neural-painting
https://github.com/rainavyas/prepend_acoustic_attack
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models
https://github.com/rajaswa/feedback-and-memory-in-transformers
Addressing Some Limitations of Transformers with Feedback Memory
https://github.com/rajlm10/Chandler
https://github.com/rajs96/ULMFiT-Twitter-US-Airline-Sentiment
https://github.com/ramanakshay/transformer
https://github.com/random-quark/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/random-zhang/Bringing-Old-Photos-Back-to-Life-master
https://github.com/randomrandom/deep-atrous-cnn-sentiment
https://github.com/ranery/Bayesian-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ranjanisubramanyan/Patient-data-representation
https://github.com/ranjith0430/ML-tutorials
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/raoofzare/Pix2Pix_cityscapes
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/rasbot/plot-bot
https://github.com/ratschlab/HIRID-ICU-Benchmark
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
https://github.com/ravindrabharathi/FaceAgingGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/raymondhs/fairseq-laser
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/rbawden/diabla-chat-interface
DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
https://github.com/re-search/DocProduct
https://github.com/reactive-systems/circuit-repair
https://github.com/reactive-systems/ml2
https://github.com/rebnej/lick-caption-bias
https://github.com/redevaaa/Transformer-for-EEG
https://github.com/reichang182/variable-length-piano-infilling
https://github.com/reisenhofer/deeperwin
https://github.com/remilb/ghissu-bot
A Dual Encoder Sequence to Sequence Model for Open-Domain Dialogue Modeling
https://github.com/renato145/stn
https://github.com/reppy4620/Dialog
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.