69 skills found · Page 1 of 3
open-edge-platform / AnomalibAn anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
D-X-Y / Awesome AutoDLAutomated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
hyperopt / Hyperopt SklearnHyper-parameter optimization for sklearn
open-edge-platform / Training ExtensionsTrain, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
THUMNLab / AutoGLAn autoML framework & toolkit for machine learning on graphs.
databrickslabs / Automl ToolkitToolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.
cansyl / DEEPScreenDEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
genixpro / HypermaxBetter, faster hyper-parameter optimization
THUMNLab / Awesome Auto Graph LearningA paper collection about automated graph learning
maxim5 / Hyper EnginePython library for Bayesian hyper-parameters optimization
erdogant / Hgboosthgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
shibuiwilliam / Keras GpyoptUsing Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
Hvass-Labs / MetaOpsTuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
AliAmini93 / ADHDeepNetADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.
Avsecz / KoptHyper-parameter optimization for Keras
georgian-io-archive / HydraA cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments
sharmaroshan / Students Performance AnalyticsStudents Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
jakob-r / MlrHyperoptEasy Hyper Parameter Optimization with mlr and mlrMBO.
kaichen-z / DHA[TMLR 2022] DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
vinthony / Pso CnnUnofficial implementation of paper “Particle Swarm Optimization for Hyper-Parameter Selection in Deep Neural Networks” using Tensorflow/Keras
