https://github.com/hsgodhia/hred
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Papers with Code 아카이브
NLP based Person Retrival
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/https-github-com-GiangHoang9912/ernie-gen
https://github.com/htzheng/ECCV2018_CrossNet_RefSR
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping
https://github.com/huangqiusheng/bridgegan
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
https://github.com/huangxt39/BART_on_COVID_dialogue
https://github.com/hubiodatalab/druggen
https://github.com/hubreb/imitkd_ast
https://github.com/hubtru/LTBoost
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
https://github.com/huffon/factsumm
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
https://github.com/huggingface/transformers
https://github.com/hughplay/DFNet
https://github.com/hugochan/Graph2Seq-for-KGQG
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
https://github.com/huizhang0110/AON
https://github.com/hujilin1229/gUNet
https://github.com/humblefool01/Image-Colourization
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/hustvl/matte-anything
https://github.com/huulinhcvp/chatBot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/huzi96/gaussian-pcloud-render
Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering
https://github.com/hvarfner/CondGenVAE-BO
Automatic chemical design using a data-driven continuous representation of molecules
https://github.com/hw666666666666/MIMO-UNet
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
https://github.com/hwalsuklee/tensorflow-mnist-AAE
https://github.com/hwzwx1190522/gru
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
https://github.com/hyan5/learning_to_simulate_nl_feedback
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
https://github.com/hydrogo/rainnet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/hyuna915/squad
Conditioning LSTM Decoder and Bi-directional Attention Based Question Answering System
https://github.com/hyunwookl/testam
https://github.com/hyunwoongko/asian-bart
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/hyunwoongko/transformer
https://github.com/hzlbbfrog/generative-bim
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
https://github.com/i2r-simmc/i2r-simmc-2020
https://github.com/iacercalixto/butd-image-captioning
https://github.com/iambabao/copynet
https://github.com/iankuoli/DFNet_TF2
https://github.com/ibaiGorordo/ONNX-GLPDepth
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
https://github.com/ibm/data-prep-kit
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
https://github.com/ibrahim-elsawy/test
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.