https://github.com/ictnlp/daspeech
공식 코드DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation
Papers with Code 아카이브
NLP based Person Retrival
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ictnlp/llama-omni2
공식 코드LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
https://github.com/ictnlp/nast
공식 코드Non-autoregressive Streaming Transformer for Simultaneous Translation
https://github.com/ictnlp/nast-s2x
공식 코드A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation
https://github.com/ictnlp/sammt
공식 코드Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
https://github.com/ictnlp/semling-mnmt
공식 코드Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features
https://github.com/ictnlp/ta-at
공식 코드https://github.com/idea-research/click-pose
공식 코드https://github.com/idea-research/dn-detr
공식 코드DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
https://github.com/idea-research/ed-pose
공식 코드Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
https://github.com/idea-research/groundingdino
공식 코드Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
https://github.com/idea-research/mp-former
공식 코드https://github.com/idea-research/stable-dino
공식 코드https://github.com/ideallab/least_volume_iclr2024
공식 코드https://github.com/idejie/KAD
공식 코드Active Object Detection with Knowledge Aggregation and Distillation from Large Models
https://github.com/idiap/Attentive_Residual_Connections_NMT
공식 코드Self-Attentive Residual Decoder for Neural Machine Translation
https://github.com/idiap/HAN_NMT
공식 코드Document-Level Neural Machine Translation with Hierarchical Attention Networks
https://github.com/idiap/contextual-biasing-on-gpus
공식 코드Implementing contextual biasing in GPU decoder for online ASR
https://github.com/idiap/joint-embedding-nmt
공식 코드Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
https://github.com/ielab/boder
공식 코드Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval
https://github.com/ielab/denseretriever-knowledge-acquisition
공식 코드Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
https://github.com/ignatpolezhaev/mds-vitnet
공식 코드MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformer
https://github.com/iip-group/duidd
공식 코드DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems
https://github.com/iiscleap/zest
공식 코드Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement
https://github.com/iit-pavis/learnaug-uda
공식 코드Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation
https://github.com/ilaria-manco/muscaps
공식 코드https://github.com/imageomics/intr
공식 코드A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
https://github.com/imatge-upc/mri-braintumor-segmentation
공식 코드MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
https://github.com/imbalance-vlm/imbalance-vlm
공식 코드https://github.com/impiga/plain-detr
공식 코드https://github.com/impl-lab/ial
공식 코드How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
https://github.com/importpandas/mivs_birgat
공식 코드A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
https://github.com/improvedlistdecoder/code
공식 코드Improving the List Decoding Version of the Cyclically Equivariant Neural Decoder
https://github.com/inbaroren/improving-compgen-in-semparse
공식 코드https://github.com/index-tts/index-tts
공식 코드IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
https://github.com/innovator-zero/MTDP_Lib
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.