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Specificity

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/institutional-grammar-pl/ig-tagger

Institutional Grammar 2.0 Codebook

https://github.com/iwasakishuto/DeepScreening

DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins

https://github.com/jannisborn/covid19_ultrasound

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

https://github.com/jertubiana/ProteinMotifRBM

Learning protein constitutive motifs from sequence data

https://github.com/jhupiterz/SafeSeizure

A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data

https://github.com/jjessyli/speciteller

Domain Agnostic Real-Valued Specificity Prediction

https://github.com/joe-prog/https-github.com-facebookresearch-ParlAI

Personalizing Dialogue Agents: I have a dog, do you have pets too?

https://github.com/jprorama/game-of-covid

Cellular automata as convolutional neural networks

https://github.com/kburel/SNN_HFO_iEEG

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

https://github.com/kburel/snn-hfo-detection

An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG

https://github.com/keltin13/concept-rot

Locating and Editing Factual Associations in GPT

https://github.com/koshian2/OctConv-TFKeras

Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network

https://github.com/kundajelab/abstention

A General Framework for Abstention Under Label Shift

https://github.com/lemuria-wchen/DialogVED

Personalizing Dialogue Agents: I have a dog, do you have pets too?

https://github.com/linz94/mfin-cycle

Temporal Interpolation via Motion Field Prediction

https://github.com/liupeng0606/voting

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

https://github.com/luost26/3d-generative-sbdd

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

https://github.com/lyronctk/quant-noisier-speech

HarperValleyBank: A Domain-Specific Spoken Dialog Corpus

https://github.com/maftouni/Corona_CT_Classification

An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis

https://github.com/magic-ai4med/keep

A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis

https://github.com/magic-ai4med/kep

A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis

https://github.com/maxwestphal/SEPM.PUB

A multiple testing framework for diagnostic accuracy studies with co-primary endpoints

https://github.com/mg515/lie-detektor

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

https://github.com/miclegr/sbp-sr

Smooth Bilevel Programming for Sparse Regularization

https://github.com/moskomule/anatome

Grounding Representation Similarity with Statistical Testing

https://github.com/nadiinchi/dynamic_embeddings

On the Embeddings of Variables in Recurrent Neural Networks for Source Code

https://github.com/naver-ai/cl-vs-mim

How Do Vision Transformers Work?

https://github.com/navsnav/Minimal-RBD-Detection

Screening for REM Sleep Behaviour Disorder with Minimal Sensors

https://github.com/nawnoes/pytorch-meena

Towards a Human-like Open-Domain Chatbot

https://github.com/neurodata/combining-representations

Distance-based Positive and Unlabeled Learning for Ranking

https://github.com/ngohgia/brainsurfcnn

From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity

https://github.com/nikaashpuri/sarfa-saliency

Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution

https://github.com/nmningmei/BOLD5000_autoencoder

How transferable are features in deep neural networks?

https://github.com/nyukat/mammography_metarepository

Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography

https://github.com/osirrc/nvsm-docker

Neural Vector Spaces for Unsupervised Information Retrieval

https://github.com/osirrc2019/nvsm-docker

Neural Vector Spaces for Unsupervised Information Retrieval

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.