https://github.com/uam-biometrics/faceqgen
공식 코드FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
Papers with Code 아카이브
Deep Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uber-research/learning-to-reweight-examples
공식 코드https://github.com/uber/horovod
공식 코드Horovod: fast and easy distributed deep learning in TensorFlow
https://github.com/uber/ludwig
공식 코드https://github.com/ucb-bar/gemmini
공식 코드Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration
https://github.com/ucd-bdlab/icebench
공식 코드IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification
https://github.com/ucla-starai/ciber
공식 코드https://github.com/uclaml/MoE
공식 코드https://github.com/uclaopt/Provable_Plug_and_Play
공식 코드Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
https://github.com/ucsb-vrl/time-lapse3dcellanalysis
공식 코드https://github.com/ufal/udpipe
공식 코드https://github.com/uizard-technologies/realmix
공식 코드RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
https://github.com/ulaval-damas/tree-bark-classification
공식 코드Tree Species Identification from Bark Images Using Convolutional Neural Networks
https://github.com/ultracoolhub/brain-inspired-computing
공식 코드Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review
https://github.com/umd-fire-coml/kitti-orientation-learning
공식 코드SoK: Vehicle Orientation Representations for Deep Rotation Estimation
https://github.com/ummisco/ecgrecover
공식 코드ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion
https://github.com/umutsimsekli/fuld
공식 코드https://github.com/uncbiag/registration
공식 코드https://github.com/uncbiag/unigradicon
공식 코드multiGradICON: A Foundation Model for Multimodal Medical Image Registration
https://github.com/unknownue/pdflow
공식 코드PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
https://github.com/uoguelph-mlrg/Theano-MPI
공식 코드https://github.com/ursci/billboard-segmentation-model
공식 코드Quantifying urban streetscapes with deep learning: focus on aesthetic evaluation
https://github.com/usccolumbia/bertos
공식 코드Composition based oxidation state prediction of materials using deep learning
https://github.com/ushaham/RBMpaper
공식 코드https://github.com/utcsilab/deep-jsense
공식 코드Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
https://github.com/uvm-plaid/backpropagation-clipping
공식 코드Backpropagation Clipping for Deep Learning with Differential Privacy
https://github.com/uw-cmg/GAN-STEM-Conv2MultiSlice
공식 코드Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation
https://github.com/uwsampl/sparsetir
공식 코드SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
https://github.com/uwsampl/sparsetir-artifact
공식 코드SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
https://github.com/uzh-rpg/authorship_attribution
공식 코드Cracking Double-Blind Review: Authorship Attribution with Deep Learning
https://github.com/v587su/coprotector
공식 코드CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
https://github.com/vafaei-ar/deepsource
공식 코드https://github.com/vagisha-nidhi/TextSummarizer
공식 코드https://github.com/val-iisc/expresso
공식 코드Expresso : A user-friendly GUI for Designing, Training and Exploring Convolutional Neural Networks
https://github.com/valeoai/ConfidNet
공식 코드https://github.com/valeoai/MVRSS
공식 코드Deep learning for radar data exploitation of autonomous vehicle
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.