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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/aamir-mustafa/Transformation-CR
공식 코드Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
https://github.com/aasharma90/NighttimeDepthandFlow
공식 코드https://github.com/abhi4ssj/QuickNATv2
공식 코드QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
https://github.com/abhishekbamotra/transdocs
공식 코드TransDocs: Optical Character Recognition with word to word translation
https://github.com/abteen/americasnli
공식 코드https://github.com/ac-93/tactile_gym
공식 코드Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
https://github.com/acasamitjana/SynthByReg
공식 코드Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images
https://github.com/acecreamu/ssim-pan
공식 코드https://github.com/aced-differentiate/EquivariantOperators.jl
공식 코드Rotation Equivariant Operators for Machine Learning on Scalar and Vector Fields
https://github.com/acerkoo/lcs
공식 코드LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation
https://github.com/ach-1914/ladlenet
공식 코드https://github.com/adaptnmt/adaptmllm
공식 코드https://github.com/adaxry/post-instruction
공식 코드Instruction Position Matters in Sequence Generation with Large Language Models
https://github.com/adaxry/ss_on_decoding_steps
공식 코드Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
https://github.com/addisonwang2013/dtl
공식 코드Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
https://github.com/adeepH/Kan_hope
공식 코드https://github.com/adeeph/kanhope
공식 코드https://github.com/adithya7/lambre
공식 코드Evaluating the Morphosyntactic Well-formedness of Generated Texts
https://github.com/aditya12agd5/convcap
공식 코드https://github.com/adityamakkar000/ASL-Sign-Research
공식 코드SignSpeak: Open-Source Time Series Classification for ASL Translation
https://github.com/adrianbzg/sqlformer
공식 코드SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
https://github.com/agonzgarc/cross-domain-disen
공식 코드https://github.com/ahanps/english-hindi-parallel-corpus
공식 코드Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis
https://github.com/ahclab/wav2vecsegmenter
공식 코드https://github.com/ahmedheakl/araspider
공식 코드https://github.com/ahmedheakl/arazn-llm
공식 코드ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs
https://github.com/ahmetustun/fairseq
공식 코드When does Parameter-Efficient Transfer Learning Work for Machine Translation?
https://github.com/ai4bharat/bhasaanuvaad
공식 코드BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages
https://github.com/ai4bharat/ctqscorer
공식 코드CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
https://github.com/ai4bharat/indictrans2
공식 코드https://github.com/aiart-hdu/matebit
공식 코드Masked and Adaptive Transformer for Exemplar Based Image Translation
https://github.com/aiff22/DPED
공식 코드DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
https://github.com/aimagelab/art2real
공식 코드Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
https://github.com/aimagelab/meshed-memory-transformer
공식 코드https://github.com/aircarlo/bin2bin-gan-plc
공식 코드A Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.