https://github.com/bioinfomachinelearning/deepinteract
공식 코드Geometric Transformers for Protein Interface Contact Prediction
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/bithlp/debackx
공식 코드Exploring In-Image Machine Translation with Real-World Background
https://github.com/blender-nlp/MolT5
공식 코드https://github.com/bltlab/paranames
공식 코드https://github.com/bluedream1121/REKD
공식 코드Self-Supervised Equivariant Learning for Oriented Keypoint Detection
https://github.com/bluejangbaljang/shunit
공식 코드SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
https://github.com/blutjens/eie-earth-public
공식 코드Generating Physically-Consistent Satellite Imagery for Climate Visualizations
https://github.com/bodokaiser/mrtoct-pytorch
공식 코드https://github.com/bodokaiser/mrtoct-scripts
공식 코드https://github.com/bodokaiser/mrtoct-tensorflow
공식 코드https://github.com/boknilev/nmt-repr-analysis
공식 코드What do Neural Machine Translation Models Learn about Morphology?
https://github.com/bonaventuredossou/ffr-v1
공식 코드https://github.com/bonifazstuhr/feamgan
공식 코드Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation
https://github.com/boom-r123/candidate_soups
공식 코드https://github.com/borgr/auto_challenge_sets
공식 코드Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
https://github.com/borgr/nematus
공식 코드Enhancing the Transformer Decoder with Transition-based Syntax
https://github.com/borrisonxiao/icefall
공식 코드HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation
https://github.com/boschresearch/uvast
공식 코드https://github.com/bottlecapper/EmoMUNIT
공식 코드https://github.com/boun-tabi/NLI-TR
공식 코드Data and Representation for Turkish Natural Language Inference
https://github.com/boyiliee/sitta
공식 코드SITTA: Single Image Texture Translation for Data Augmentation
https://github.com/bozheng-hit/xTune
공식 코드https://github.com/brendanartley/genplot
공식 코드GenPlot: Increasing the Scale and Diversity of Chart Derendering Data
https://github.com/brendenlake/SCAN
공식 코드https://github.com/bri25yu/languagemodelexperimentation
공식 코드https://github.com/brownvc/ganimorph
공식 코드Improving Shape Deformation in Unsupervised Image-to-Image Translation
https://github.com/brs96/geometric-instability-gnn-large-graphs
공식 코드Geometric instability of graph neural networks on large graphs
https://github.com/bruceyg/dpo-mbr
공식 코드Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
https://github.com/bsavoldi/post-edit_guidelines
공식 코드https://github.com/bupt-ai-cz/BCI
공식 코드BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
https://github.com/bupt-ai-cz/LLVIP
공식 코드LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
https://github.com/burcgokden/Power-Law-Graph-Transformer
공식 코드Power Law Graph Transformer for Machine Translation and Representation Learning
https://github.com/bussilab/saxs-md-gac
공식 코드https://github.com/butanium/llm-lang-agnostic
공식 코드https://github.com/bytedance/MTVQA
공식 코드MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
https://github.com/bytedance/lightseq
공식 코드LightSeq: A High Performance Inference Library for Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.