https://github.com/udaydutt12/Neural-Nets
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Papers with Code 아카이브
BIG-bench Machine Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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This branch include most common machine learning fundamental algorithms.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uidmice/placement-rl
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
https://github.com/uit-hdl/hovernet-pipeline
https://github.com/umitkacar/MLOps
Challenges in Deploying Machine Learning: a Survey of Case Studies
https://github.com/umitkacar/ai-edge-computing
https://github.com/umutcanaltin/research
LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
https://github.com/upunaprosk/fair-pruning
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
https://github.com/usc-hal/morse-dataset
https://github.com/uthsavc/hypergraph-halo-ranking
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
https://github.com/uts-caslab/autoweka
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
https://github.com/uyxela/Skin-Lesion-Classifier
https://github.com/uzairakbar/info-retrieval
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
https://github.com/valerielimyh/Intent_Recognition_using_BERT
https://github.com/vamshi4067/Anomaly-detection-using-computer-vision
https://github.com/vbookshelf/Skin-Lesion-Analyzer
https://github.com/verivital/nnv
Verification for Machine Learning, Autonomy, and Neural Networks Survey
https://github.com/victor369basu/ProteinStructurePrediction
ProteinNet: a standardized data set for machine learning of protein structure
https://github.com/vinayakumarr/maching-learning-CDAC-Technopark
https://github.com/vincent-vercruyssen/transfertools
https://github.com/vinuni-vishc/feddct
https://github.com/vinusankars/Sampling-and-sketching-methods-for-machine-learning
https://github.com/viskjha/Wrong-way-vehicle-detection
https://github.com/vlad17/runlmc
Finding Approximate Local Minima Faster than Gradient Descent
https://github.com/vlcekl/n2n-tomo
https://github.com/vrunm/text-classification-financial-phrase-bank
The Marginal Value of Adaptive Gradient Methods in Machine Learning
https://github.com/wandb/droughtwatch
Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya
https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2
https://github.com/wanglun1996/secure-robust-federated-learning
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
https://github.com/wangyongjie-ntu/CFAI
Inverse Classification for Comparison-based Interpretability in Machine Learning
https://github.com/wangyongjie-ntu/Counterfactual-Explanations-Pytorch
Inverse Classification for Comparison-based Interpretability in Machine Learning
https://github.com/wdika/mridc
https://github.com/weallen/STARmap
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
https://github.com/weichseltree/euro2020
https://github.com/weidalin/yolov4_mixup
https://github.com/weiwenjiang/QuantumFlow_Tutorial
https://github.com/west-gates/GIRP
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.