https://github.com/anirudh9784/Adversarial-Defense
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
Papers with Code 아카이브
BIG-bench Machine Learning
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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/anirudhsom/Perturbed-Topological-Signature
Perturbation Robust Representations of Topological Persistence Diagrams
https://github.com/anitadala/SkinLesionAnalyzer
https://github.com/anitagold/30-days-of-Udacity
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/ankitk2109/Covid_Evolution_Using_Incremental_ML
Modelling the COVID-19 virus evolution with Incremental Machine Learning
https://github.com/anonymous12138/biasmitigation
https://github.com/anonymousjack/hijacking
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
https://github.com/anoushkrit/Knowledge
Private Machine Learning in TensorFlow using Secure Computation
https://github.com/ans682/SafePredict_and_Forecasting
SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness
https://github.com/anshul3899/GNNExplainer-Experiments
GNNExplainer: Generating Explanations for Graph Neural Networks
https://github.com/antoinedelplace/Cyberattack-Detection
Cyber Attack Detection thanks to Machine Learning Algorithms
https://github.com/antonoeschmidt/darknet
https://github.com/aokray/FKRFFE
Fair Kernel Regression via Fair Feature Embedding in Kernel Space
https://github.com/apache/incubator-mxnet
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
https://github.com/apple/ml-flair
https://github.com/appleternity/generating-figure-captions-as-a-text-summarization-task
Generalization Error of Generalized Linear Models in High Dimensions
https://github.com/aradha5772/deep_learning_theory_tutorial
https://github.com/arafin-lab/model_inversion_experiments
https://github.com/aravic/generalizable-device-placement
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
https://github.com/arcadelab/DeepDRR
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
https://github.com/ard-srp/qml_analysis
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
https://github.com/areberoto/darknet-thesis
https://github.com/ari9dam/ILPME
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples
https://github.com/arjunastra/diagnosing-tremor-smarthphones-machinelearning
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
https://github.com/armaanjawed/Skin-Cancer-Web_App
https://github.com/ars-ashuha/real-nvp-pytorch
https://github.com/aryandeshwal/Submodular_Relaxation_BOCS
https://github.com/as791/Adversarial-Example-Attack-and-Defense
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
https://github.com/ashutoshbsathe/adversarial_reprogramming
https://github.com/asjad99/MIMIC_RL_COACH
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
https://github.com/asjad99/datascience-GYM
Challenges in Deploying Machine Learning: a Survey of Case Studies
https://github.com/aspuru-guzik-group/Pasithea
https://github.com/astr0naut2/astr0naut2
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning
https://github.com/asuprem/edna
EventMapper: Detecting Real-World Physical Events Using Corroborative and Probabilistic Sources
https://github.com/atomistic-machine-learning/field_schnet
Machine learning of solvent effects on molecular spectra and reactions
https://github.com/atreyasha/mimic3_benchmarks_occlusion
Multitask learning and benchmarking with clinical time series data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.